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Paper Citation Record · LEDGER

DifferSeg: Towards Diverse Multimodal Binary Segmentation via Differential Perception and Frequency Guidance

As of 4 August 2026, this Paper Citation Record lists 100 of 117 outbound references and 0 inbound Pith citation observations for arXiv:2606.08906.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2606.08906 v1

Coverage vector

measured 100 of 117 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-27T17:31:28.553260Z

measured 100 of 100 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

100 of 117 outbound references displayed

  • verified exact12
  • verified fuzzy0
  • unresolved88
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5911e80b-a809-48f8-9a65-f03a2ca49bb2 · outbound

This paper cites Towards complex backgrounds: A unified difference-aware decoder for binary segmentation,.

DifferSeg: Towards Diverse Multimodal Binary Segmentation via Differential Perception and Frequency Guidance Towards complex backgrounds: A unified difference-aware decoder for binary segmentation,

Reference 1

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Observation a83b5597-971f-470f-9ad2-d31d309d06a2 · outbound

This paper cites Towards diverse binary segmentation via a simple yet general gated network,.

DifferSeg: Towards Diverse Multimodal Binary Segmentation via Differential Perception and Frequency Guidance Towards diverse binary segmentation via a simple yet general gated network,

Reference 2

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Observation 9067fd0f-647f-449f-ac4b-d8e7ac4251b5 · outbound

This paper cites Deep fourier- embedded network for rgb and thermal salient object detection,.

DifferSeg: Towards Diverse Multimodal Binary Segmentation via Differential Perception and Frequency Guidance Deep fourier- embedded network for rgb and thermal salient object detection,

Reference 3

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Observation f05ad147-d32b-4397-979a-02037d86e1ec · outbound

This paper cites Towards unifying saliency transformer for video saliency prediction and detection,.

DifferSeg: Towards Diverse Multimodal Binary Segmentation via Differential Perception and Frequency Guidance Towards unifying saliency transformer for video saliency prediction and detection,

Reference 4

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Observation f48e99e5-18e9-48b1-960b-2ec42a0becd5 · outbound

This paper cites Camouflaged object detection with adaptive partition and background retrieval,.

DifferSeg: Towards Diverse Multimodal Binary Segmentation via Differential Perception and Frequency Guidance Camouflaged object detection with adaptive partition and background retrieval,

Reference 5

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Observation 4ebc9852-c271-42c1-b7dc-ee00053b7a4f · outbound

This paper cites Tanet: Tri-aspects network for camouflaged object detection,.

DifferSeg: Towards Diverse Multimodal Binary Segmentation via Differential Perception and Frequency Guidance Tanet: Tri-aspects network for camouflaged object detection,

Reference 6

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Observation 016b6290-fc82-47d7-a259-1694864b3d40 · outbound

This paper cites Enhanced boundary learning for glass-like object segmen- tation,.

DifferSeg: Towards Diverse Multimodal Binary Segmentation via Differential Perception and Frequency Guidance Enhanced boundary learning for glass-like object segmen- tation,

Reference 7

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Observation 9d864f79-b141-42b7-ada9-faa0024b3776 · outbound

This paper cites Defocus blur detection via depth distillation,.

DifferSeg: Towards Diverse Multimodal Binary Segmentation via Differential Perception and Frequency Guidance Defocus blur detection via depth distillation,

Reference 8

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Observation 546207a5-6987-4cee-b258-ecc80819b9fa · outbound

This paper cites Noise-consistent siamese-diffusion for medical image synthesis and segmentation,.

DifferSeg: Towards Diverse Multimodal Binary Segmentation via Differential Perception and Frequency Guidance Noise-consistent siamese-diffusion for medical image synthesis and segmentation,

Reference 9

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Observation 898448eb-06f7-4071-adde-aa1dc6d09a3b · outbound

This paper cites Flownet 2.0: Evolution of optical flow estimation with deep networks,.

DifferSeg: Towards Diverse Multimodal Binary Segmentation via Differential Perception and Frequency Guidance Flownet 2.0: Evolution of optical flow estimation with deep networks,

Reference 10

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Observation f289b3e8-3053-4b6f-ab83-ead2d13fb8aa · outbound

This paper cites Explicit visual prompting for low-level structure segmentations,.

DifferSeg: Towards Diverse Multimodal Binary Segmentation via Differential Perception and Frequency Guidance Explicit visual prompting for low-level structure segmentations,

Reference 11

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Observation 70d7e27c-fb95-4082-9885-849ec7470ecb · outbound

This paper cites Spider: A Unified Framework for Context-dependent Concept Segmentation.

DifferSeg: Towards Diverse Multimodal Binary Segmentation via Differential Perception and Frequency Guidance Spider: A Unified Framework for Context-dependent Concept Segmentation

Reference 12

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Observation 9a584d98-31c0-4969-bbcc-dfddf8e35de6 · outbound

This paper cites Focus: Towards universal foreground segmentation,.

DifferSeg: Towards Diverse Multimodal Binary Segmentation via Differential Perception and Frequency Guidance Focus: Towards universal foreground segmentation,

Reference 13

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Observation 7de63ba6-59d0-4942-8bc0-fc8d09dd8143 · outbound

This paper cites Sam2-unet: Segment anything 2 makes strong encoder for natural and medical image segmentation.

DifferSeg: Towards Diverse Multimodal Binary Segmentation via Differential Perception and Frequency Guidance Sam2-unet: Segment anything 2 makes strong encoder for natural and medical image segmentation

Reference 14

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Observation 53effa6f-152a-4e6d-8da3-199c2cff3367 · outbound

This paper cites Tp-seg: Task- prototype framework for unified medical lesion segmentation,.

DifferSeg: Towards Diverse Multimodal Binary Segmentation via Differential Perception and Frequency Guidance Tp-seg: Task- prototype framework for unified medical lesion segmentation,

Reference 15

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Observation fd9fdddb-81dd-4592-b549-3d53eb57216c · outbound

This paper cites Samba: A unified mamba-based framework for general salient object detection,.

DifferSeg: Towards Diverse Multimodal Binary Segmentation via Differential Perception and Frequency Guidance Samba: A unified mamba-based framework for general salient object detection,

Reference 16

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Observation 6e674ed5-4851-40cc-afcb-a1c46a113f45 · outbound

This paper cites Hvpnet: A unified bio- inspired network for general salient and camouflaged object detection,.

DifferSeg: Towards Diverse Multimodal Binary Segmentation via Differential Perception and Frequency Guidance Hvpnet: A unified bio- inspired network for general salient and camouflaged object detection,

Reference 17

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Observation 21f767ec-a71d-40c1-9719-e3ffc38d1010 · outbound

This paper cites Vscode: General visual salient and camouflaged object detection with 2d prompt learning,.

DifferSeg: Towards Diverse Multimodal Binary Segmentation via Differential Perception and Frequency Guidance Vscode: General visual salient and camouflaged object detection with 2d prompt learning,

Reference 18

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Observation 96141dd7-c846-4578-b690-2aacfab569d2 · outbound

This paper cites Detect any mirrors: Boosting learning reliability on large- scale unlabeled data with an iterative data engine,.

DifferSeg: Towards Diverse Multimodal Binary Segmentation via Differential Perception and Frequency Guidance Detect any mirrors: Boosting learning reliability on large- scale unlabeled data with an iterative data engine,

Reference 19

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Observation eca95a14-af97-42c1-b15c-e39ed48b9142 · outbound

This paper cites Revisiting weak- to-strong consistency in semi-supervised semantic segmentation,.

DifferSeg: Towards Diverse Multimodal Binary Segmentation via Differential Perception and Frequency Guidance Revisiting weak- to-strong consistency in semi-supervised semantic segmentation,

Reference 20

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Observation 649f168a-9d08-45d1-b114-ec0c29651d37 · outbound

This paper cites Endow sam with keen eyes: Temporal-spatial prompt learning for video camouflaged object detection,.

DifferSeg: Towards Diverse Multimodal Binary Segmentation via Differential Perception and Frequency Guidance Endow sam with keen eyes: Temporal-spatial prompt learning for video camouflaged object detection,

Reference 21

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Observation 93b71f22-7ba1-4799-a450-909e9cbcc179 · outbound

This paper cites Frequency-spatial entanglement learning for camouflaged object detection,.

DifferSeg: Towards Diverse Multimodal Binary Segmentation via Differential Perception and Frequency Guidance Frequency-spatial entanglement learning for camouflaged object detection,

Reference 22

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Observation 3a42ef57-1059-44c7-94a3-149dd5676f2f · outbound

This paper cites Depth-aware concealed crop detection in dense agricultural scenes,.

DifferSeg: Towards Diverse Multimodal Binary Segmentation via Differential Perception and Frequency Guidance Depth-aware concealed crop detection in dense agricultural scenes,

Reference 23

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Observation f3aa1334-714a-4465-a988-fc6cc6f421c7 · outbound

This paper cites Improving SAM for Camouflaged Object Detection via Dual Stream Adapters.

DifferSeg: Towards Diverse Multimodal Binary Segmentation via Differential Perception and Frequency Guidance Improving SAM for Camouflaged Object Detection via Dual Stream Adapters

Reference 24

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Observation e5290d0e-7f07-4186-97bb-7d2908d5b1e8 · outbound

This paper cites Differential feature awareness network within antagonistic learning for infrared-visible object detection,.

DifferSeg: Towards Diverse Multimodal Binary Segmentation via Differential Perception and Frequency Guidance Differential feature awareness network within antagonistic learning for infrared-visible object detection,

Reference 25

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Observation 839a8caa-04f4-477e-aa55-69b9c3cf3eaa · outbound

This paper cites Rcnet: Dual-network resonance collaboration via mutual learning for rgb-d road defect detection,.

DifferSeg: Towards Diverse Multimodal Binary Segmentation via Differential Perception and Frequency Guidance Rcnet: Dual-network resonance collaboration via mutual learning for rgb-d road defect detection,

Reference 26

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Observation 6242f501-1d8e-444b-8856-e9d794682d8a · outbound

This paper cites Fmtrack: Frequency-aware interaction and multi-expert fusion for rgb- t tracking,.

DifferSeg: Towards Diverse Multimodal Binary Segmentation via Differential Perception and Frequency Guidance Fmtrack: Frequency-aware interaction and multi-expert fusion for rgb- t tracking,

Reference 27

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Observation dd7662ce-884c-4d67-af5c-88f7d40e0bbb · outbound

This paper cites Semantic-orthogonal multi-modal attention network for rgb-d salient object detection,.

DifferSeg: Towards Diverse Multimodal Binary Segmentation via Differential Perception and Frequency Guidance Semantic-orthogonal multi-modal attention network for rgb-d salient object detection,

Reference 28

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Observation 0ff92751-b207-40ea-a8b9-0dc7631f742b · outbound

This paper cites MAS-SAM: Segment Any Marine Animal with Aggregated Features.

DifferSeg: Towards Diverse Multimodal Binary Segmentation via Differential Perception and Frequency Guidance MAS-SAM: Segment Any Marine Animal with Aggregated Features

Reference 29

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Observation f72c587f-2a78-466b-b0bf-71910a5113d0 · outbound

This paper cites Adaptive illumination mapping for shadow detection in raw images,.

DifferSeg: Towards Diverse Multimodal Binary Segmentation via Differential Perception and Frequency Guidance Adaptive illumination mapping for shadow detection in raw images,

Reference 30

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Observation d9066f0e-c794-46ce-9074-38f28baba891 · outbound

This paper cites Msu-mamba: multi-scale defocus blur detection using cross- scale fusion and state-space models,.

DifferSeg: Towards Diverse Multimodal Binary Segmentation via Differential Perception and Frequency Guidance Msu-mamba: multi-scale defocus blur detection using cross- scale fusion and state-space models,

Reference 31

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Observation 5a09793a-088e-4b93-a89a-c827af2a6aab · outbound

This paper cites RFENet: Towards Reciprocal Feature Evolution for Glass Segmentation.

DifferSeg: Towards Diverse Multimodal Binary Segmentation via Differential Perception and Frequency Guidance RFENet: Towards Reciprocal Feature Evolution for Glass Segmentation

Reference 32

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Observation 725b2329-8491-4017-bd3f-b9018a0e448a · outbound

This paper cites Decor- net: a covid-19 lung infection segmentation network improved by emphasizing low-level features and decorrelating features,.

DifferSeg: Towards Diverse Multimodal Binary Segmentation via Differential Perception and Frequency Guidance Decor- net: a covid-19 lung infection segmentation network improved by emphasizing low-level features and decorrelating features,

Reference 33

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Observation d36de974-dc5a-416e-a24f-d1e8e3fe994c · outbound

This paper cites A dual-branch network for ultrasound image segmentation,.

DifferSeg: Towards Diverse Multimodal Binary Segmentation via Differential Perception and Frequency Guidance A dual-branch network for ultrasound image segmentation,

Reference 34

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Observation 7c6a1068-10a3-46f1-a4ac-2c08ab9a1155 · outbound

This paper cites Flowsdf: Flow matching for medical image segmentation using dis- tance transforms,.

DifferSeg: Towards Diverse Multimodal Binary Segmentation via Differential Perception and Frequency Guidance Flowsdf: Flow matching for medical image segmentation using dis- tance transforms,

Reference 35

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Observation 1552c86e-84fe-485b-8152-c84277bed8c7 · outbound

This paper cites Controllable-lpmoe: Adapting to challenging object segmentation via dynamic local priors from mixture- of-experts,.

DifferSeg: Towards Diverse Multimodal Binary Segmentation via Differential Perception and Frequency Guidance Controllable-lpmoe: Adapting to challenging object segmentation via dynamic local priors from mixture- of-experts,

Reference 36

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Observation 87de2c8e-26bc-4e9d-9b66-36075dca4415 · outbound

This paper cites De-lightsam: Modality- decoupled lightweight sam for generalizable medical segmentation,.

DifferSeg: Towards Diverse Multimodal Binary Segmentation via Differential Perception and Frequency Guidance De-lightsam: Modality- decoupled lightweight sam for generalizable medical segmentation,

Reference 37

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Observation e4b04a27-d2f4-4b81-8982-ad3c667958fe · outbound

This paper cites Depth anything: Unleashing the power of large-scale unlabeled data,.

DifferSeg: Towards Diverse Multimodal Binary Segmentation via Differential Perception and Frequency Guidance Depth anything: Unleashing the power of large-scale unlabeled data,

Reference 38

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Observation 7f74f533-0dc2-4b95-a354-8abf945186b3 · outbound

This paper cites Vst++: Efficient and stronger visual saliency transformer,.

DifferSeg: Towards Diverse Multimodal Binary Segmentation via Differential Perception and Frequency Guidance Vst++: Efficient and stronger visual saliency transformer,

Reference 39

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Observation 339c9d21-f58e-43f3-9c32-751d76268750 · outbound

This paper cites Effective video mirror detection with inconsistent motion cues,.

DifferSeg: Towards Diverse Multimodal Binary Segmentation via Differential Perception and Frequency Guidance Effective video mirror detection with inconsistent motion cues,

Reference 40

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source=pdf_text observed=2026-06-27T17:31:28.553260Z digest=sha256:af72f74c982a4ae7e98a18193ead4c1858a1053ee958585564fde5d10deecb50

Observation 8fc00ed5-254d-4797-ac74-7d34236d5039 · outbound

This paper cites Modality-induced transfer-fusion network for rgb-d and rgb-t salient object detection,.

DifferSeg: Towards Diverse Multimodal Binary Segmentation via Differential Perception and Frequency Guidance Modality-induced transfer-fusion network for rgb-d and rgb-t salient object detection,

Reference 41

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Observation 0660ea29-a2e5-44d1-9cc0-fa6df5382a48 · outbound

This paper cites Unified-modal salient object detection via adaptive prompt learning,.

DifferSeg: Towards Diverse Multimodal Binary Segmentation via Differential Perception and Frequency Guidance Unified-modal salient object detection via adaptive prompt learning,

Reference 42

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Observation cde4dc0f-e45a-4a30-8b9a-8541a88850f4 · outbound

This paper cites Improving sam for camouflaged object detection via dual stream adapters,.

DifferSeg: Towards Diverse Multimodal Binary Segmentation via Differential Perception and Frequency Guidance Improving sam for camouflaged object detection via dual stream adapters,

Reference 43

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Observation 8e56cffb-2ba6-4107-ac36-078023ceac64 · outbound

This paper cites Segment anything,.

DifferSeg: Towards Diverse Multimodal Binary Segmentation via Differential Perception and Frequency Guidance Segment anything,

Reference 44

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source=pdf_text observed=2026-06-27T17:31:28.553260Z digest=sha256:b6386ece63850675e1009f7627b76fb768c646efe4e4d6aa7760b6744eaad899

Observation 2aaca43d-e2d4-42d5-a888-183bdb1faa68 · outbound

This paper cites SAM 2: Segment Anything in Images and Videos.

DifferSeg: Towards Diverse Multimodal Binary Segmentation via Differential Perception and Frequency Guidance SAM 2: Segment Anything in Images and Videos

Reference 45

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Source-reported events for the cited work

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Observation bf29fe30-1f75-4339-b702-44ca2e0531c8 · outbound

This paper cites DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection.

DifferSeg: Towards Diverse Multimodal Binary Segmentation via Differential Perception and Frequency Guidance DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection

Reference 46

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source=pdf_text observed=2026-06-27T17:31:28.553260Z digest=sha256:75e4d23ca259367fb832561ee44211b271df7557dbe061ebbc80482ce6d0a2f0

Observation 26fa7a7b-c537-4d90-a4b4-bd20f00b69e4 · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

DifferSeg: Towards Diverse Multimodal Binary Segmentation via Differential Perception and Frequency Guidance DINOv2: Learning Robust Visual Features without Supervision

Reference 47

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Source-reported events for the cited work

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source=pdf_text observed=2026-06-27T17:31:28.553260Z digest=sha256:ff9acbb8e4afbd542316f4ef42fe5469dd46c5830f41cfbab938b7ed6b50620d

Observation c63863eb-f71c-488a-9efc-9a6dd1c89370 · outbound

This paper cites SAM2-Adapter: Evaluating & Adapting Segment Anything 2 in Downstream Tasks: Camouflage, Shadow, Medical Image Segmentation, and More.

DifferSeg: Towards Diverse Multimodal Binary Segmentation via Differential Perception and Frequency Guidance SAM2-Adapter: Evaluating & Adapting Segment Anything 2 in Downstream Tasks: Camouflage, Shadow, Medical Image Segmentation, and More

Reference 48

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation 469048f8-84f5-4d72-9c6c-ba17cb7501f7 · outbound

This paper cites Edge- aware feature aggregation network for polyp segmentation,.

DifferSeg: Towards Diverse Multimodal Binary Segmentation via Differential Perception and Frequency Guidance Edge- aware feature aggregation network for polyp segmentation,

Reference 49

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source=pdf_text observed=2026-06-27T17:31:28.553260Z digest=sha256:08c0b6d2b2ac64852bbf33192d0b7b8d136fc4d792c6e7a9d3e16024992992ec

Observation 50a6bc92-9afe-41e9-9ecb-0f03fe39f8cb · outbound

This paper cites Generalized intersection over union: A metric and a loss for bounding box regression,.

DifferSeg: Towards Diverse Multimodal Binary Segmentation via Differential Perception and Frequency Guidance Generalized intersection over union: A metric and a loss for bounding box regression,

Reference 50

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source=pdf_text observed=2026-06-27T17:31:28.553260Z digest=sha256:05957179c4db763bc91275c57912c2da2b1ef520b69d9e72a4b274649fcefe9f

Observation 196b8e8b-d0f6-4d1a-a884-6d8510db704e · outbound

This paper cites Generalized cross entropy loss for training deep neural networks with noisy labels,.

DifferSeg: Towards Diverse Multimodal Binary Segmentation via Differential Perception and Frequency Guidance Generalized cross entropy loss for training deep neural networks with noisy labels,

Reference 51

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Observation e4a086cc-2114-489a-84e0-fbf7129a5832 · outbound

This paper cites Learning to detect salient objects with image-level supervision,.

DifferSeg: Towards Diverse Multimodal Binary Segmentation via Differential Perception and Frequency Guidance Learning to detect salient objects with image-level supervision,

Reference 52

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source=pdf_text observed=2026-06-27T17:31:28.553260Z digest=sha256:923637cf0626367c984839afe97f6624b46bfa73cb8bea7f6deeb9303df5e32a

Observation 83778daa-ea3c-45f8-8595-dbebfdeab9ef · outbound

This paper cites Saliency detection via graph-based manifold ranking,.

DifferSeg: Towards Diverse Multimodal Binary Segmentation via Differential Perception and Frequency Guidance Saliency detection via graph-based manifold ranking,

Reference 53

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Observation f289e609-4f65-4ec8-81e3-4dbc5efa5afc · outbound

This paper cites Visual saliency based on multiscale deep features,.

DifferSeg: Towards Diverse Multimodal Binary Segmentation via Differential Perception and Frequency Guidance Visual saliency based on multiscale deep features,

Reference 54

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source=pdf_text observed=2026-06-27T17:31:28.553260Z digest=sha256:621cc41a2b09cc4aeb6ba0a9907acf878a885d58e7244bccf49ea3961125abfa

Observation 51bd28e1-46f9-43eb-a0d5-3466761d9bc4 · outbound

This paper cites Leveraging stereopsis for saliency analysis,.

DifferSeg: Towards Diverse Multimodal Binary Segmentation via Differential Perception and Frequency Guidance Leveraging stereopsis for saliency analysis,

Reference 55

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Observation 897aa928-84c3-4594-a8f0-fd937aa5b4d8 · outbound

This paper cites Rgbd salient object detection: A benchmark and algorithms,.

DifferSeg: Towards Diverse Multimodal Binary Segmentation via Differential Perception and Frequency Guidance Rgbd salient object detection: A benchmark and algorithms,

Reference 56

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Observation 8d5780af-713e-4010-9f68-0658b2377405 · outbound

This paper cites Depth-induced multi-scale recurrent attention network for saliency detection,.

DifferSeg: Towards Diverse Multimodal Binary Segmentation via Differential Perception and Frequency Guidance Depth-induced multi-scale recurrent attention network for saliency detection,

Reference 57

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Observation fd1ace8b-a068-4db9-b364-83ccd5bc192d · outbound

This paper cites Vscode-v2: Dynamic prompt learning for general visual salient and camouflaged object detection with two-stage optimization,.

DifferSeg: Towards Diverse Multimodal Binary Segmentation via Differential Perception and Frequency Guidance Vscode-v2: Dynamic prompt learning for general visual salient and camouflaged object detection with two-stage optimization,

Reference 58

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source=pdf_text observed=2026-06-27T17:31:28.553260Z digest=sha256:84f92272162cd321924e063e1afd3d53dabe4ee5776eff9086a339034d337737

Observation 7f70b249-14bf-4e89-a520-d2c763e0d349 · outbound

This paper cites Rgb-t saliency detection benchmark: Dataset, baselines, analysis and a novel approach,.

DifferSeg: Towards Diverse Multimodal Binary Segmentation via Differential Perception and Frequency Guidance Rgb-t saliency detection benchmark: Dataset, baselines, analysis and a novel approach,

Reference 59

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source=pdf_text observed=2026-06-27T17:31:28.553260Z digest=sha256:519fc145c64398a2df1b205caf86e40634ddb7c700074919ed8623a1fee3dcea

Observation a6b898f4-1f5f-452c-91f0-581b941bc596 · outbound

This paper cites Rgb-t image saliency detection via collaborative graph learning,.

DifferSeg: Towards Diverse Multimodal Binary Segmentation via Differential Perception and Frequency Guidance Rgb-t image saliency detection via collaborative graph learning,

Reference 60

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Observation 7d1ca0d5-98a3-46b2-9cea-e7791990e1dd · outbound

This paper cites Rgbt salient object detection: A large-scale dataset and benchmark,.

DifferSeg: Towards Diverse Multimodal Binary Segmentation via Differential Perception and Frequency Guidance Rgbt salient object detection: A large-scale dataset and benchmark,

Reference 61

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source=pdf_text observed=2026-06-27T17:31:28.553260Z digest=sha256:29426fffb370ec12592f5829ea2cee5584e337ad00312e42192341deb05096af

Observation 3f08b005-fedf-4c7c-a0fc-ab27b2464e87 · outbound

This paper cites Segmentation of moving objects by long term video analysis,.

DifferSeg: Towards Diverse Multimodal Binary Segmentation via Differential Perception and Frequency Guidance Segmentation of moving objects by long term video analysis,

Reference 62

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source=pdf_text observed=2026-06-27T17:31:28.553260Z digest=sha256:661a3014df249a10980e76cf13fdf2cdd9332d1b42be40e5b83d789f93f3d9aa

Observation 3673ab5a-bf57-4d65-9e0f-00c87b70f14f · outbound

This paper cites A benchmark dataset and evaluation method- ology for video object segmentation,.

DifferSeg: Towards Diverse Multimodal Binary Segmentation via Differential Perception and Frequency Guidance A benchmark dataset and evaluation method- ology for video object segmentation,

Reference 63

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Observation 99f92693-8dbb-4026-845c-63a6b8782647 · outbound

This paper cites Shifting more attention to video salient object detection,.

DifferSeg: Towards Diverse Multimodal Binary Segmentation via Differential Perception and Frequency Guidance Shifting more attention to video salient object detection,

Reference 64

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source=pdf_text observed=2026-06-27T17:31:28.553260Z digest=sha256:f8e3f25907c52af265570167fcfdb82ba4724efdb13ce02ba7b4a5f66f8c7fa8

Observation 602e3c82-6eab-4d35-a704-bb7d923233cc · outbound

This paper cites Learning complemen- tary spatial–temporal transformer for video salient object detection,.

DifferSeg: Towards Diverse Multimodal Binary Segmentation via Differential Perception and Frequency Guidance Learning complemen- tary spatial–temporal transformer for video salient object detection,

Reference 65

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Observation e57dd0dc-c85c-4d21-a345-4172ee88de38 · outbound

This paper cites Dimsod: A diffusion-based framework for multi-modal salient ob- ject detection,.

DifferSeg: Towards Diverse Multimodal Binary Segmentation via Differential Perception and Frequency Guidance Dimsod: A diffusion-based framework for multi-modal salient ob- ject detection,

Reference 66

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Observation 181aac62-80dc-4408-843c-146bb737d684 · outbound

This paper cites Alignment-free rgb-t salient object detection: A large-scale dataset and progressive corre- lation network,.

DifferSeg: Towards Diverse Multimodal Binary Segmentation via Differential Perception and Frequency Guidance Alignment-free rgb-t salient object detection: A large-scale dataset and progressive corre- lation network,

Reference 67

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Observation 743ce40b-98b8-4af6-b440-9b627be972c2 · outbound

This paper cites Anabranch network for camouflaged object segmentation,.

DifferSeg: Towards Diverse Multimodal Binary Segmentation via Differential Perception and Frequency Guidance Anabranch network for camouflaged object segmentation,

Reference 68

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source=pdf_text observed=2026-06-27T17:31:28.553260Z digest=sha256:fbcdcb2114c4eb8c8bd2db95ec61925cc4de95a02025c80978086c2cc16cc0ab

Observation 4b5e1850-a6d7-4060-ad21-077e6d4ff7e6 · outbound

This paper cites Camouflaged object detection,.

DifferSeg: Towards Diverse Multimodal Binary Segmentation via Differential Perception and Frequency Guidance Camouflaged object detection,

Reference 69

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source=pdf_text observed=2026-06-27T17:31:28.553260Z digest=sha256:352fa73c51a17e8b73b95cccd0a7d6ff60d9771d3c35e0863a4469c5f7a42352

Observation be619599-994f-4f08-85bd-d1c0aea04dd8 · outbound

This paper cites Simultaneously localize, segment and rank the camouflaged objects,.

DifferSeg: Towards Diverse Multimodal Binary Segmentation via Differential Perception and Frequency Guidance Simultaneously localize, segment and rank the camouflaged objects,

Reference 70

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source=pdf_text observed=2026-06-27T17:31:28.553260Z digest=sha256:b34362adac187ec1cde2aa0cecbd81f23cc65ecab3c113bb0249b844bf8f1ac3

Observation 30c85062-138c-451c-a4ce-0df93e9c9353 · outbound

This paper cites Implicit motion handling for video camouflaged object detection,.

DifferSeg: Towards Diverse Multimodal Binary Segmentation via Differential Perception and Frequency Guidance Implicit motion handling for video camouflaged object detection,

Reference 71

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Observation 332585a6-f74b-4741-91ef-85fd64130717 · outbound

This paper cites It’s moving! a probabilistic model for causal motion segmentation in moving camera videos,.

DifferSeg: Towards Diverse Multimodal Binary Segmentation via Differential Perception and Frequency Guidance It’s moving! a probabilistic model for causal motion segmentation in moving camera videos,

Reference 72

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Observation 6beda608-6784-4554-ad97-269b782be238 · outbound

This paper cites Source-free depth for object pop-out,.

DifferSeg: Towards Diverse Multimodal Binary Segmentation via Differential Perception and Frequency Guidance Source-free depth for object pop-out,

Reference 73

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Observation ac8bda67-db35-48c2-8275-70b3abfc11a5 · outbound

This paper cites Implicit-explicit motion learning for video camouflaged object detection,.

DifferSeg: Towards Diverse Multimodal Binary Segmentation via Differential Perception and Frequency Guidance Implicit-explicit motion learning for video camouflaged object detection,

Reference 74

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source=pdf_text observed=2026-06-27T17:31:28.553260Z digest=sha256:1f6ab4a0c6c681b82beeeb6990ef71de5ef025986d42118e6cf6bebea32e1b6c

Observation df002bb6-d778-400a-9ee8-f3f2326c8db9 · outbound

This paper cites Depth alignment interaction network for camouflaged object detection,.

DifferSeg: Towards Diverse Multimodal Binary Segmentation via Differential Perception and Frequency Guidance Depth alignment interaction network for camouflaged object detection,

Reference 75

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source=pdf_text observed=2026-06-27T17:31:28.553260Z digest=sha256:43e0a62ff3bed29372dac257f63ef8a160c5131d5cfe6cdcb16beff191e7af73

Observation 58f6296c-8ce1-4ed4-ad36-a108badc273f · outbound

This paper cites Sam-pm: Enhancing video camouflaged object detection using spatio-temporal attention,.

DifferSeg: Towards Diverse Multimodal Binary Segmentation via Differential Perception and Frequency Guidance Sam-pm: Enhancing video camouflaged object detection using spatio-temporal attention,

Reference 76

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source=pdf_text observed=2026-06-27T17:31:28.553260Z digest=sha256:05aa8b03108b32d43eff7a957eb6f069a33f23922d7b39d2069a562dab9d2b08

Observation aa9ecd24-1f7d-4123-a805-d605a3bc6c38 · outbound

This paper cites Explicit motion handling and interactive prompting for video camouflaged object detection,.

DifferSeg: Towards Diverse Multimodal Binary Segmentation via Differential Perception and Frequency Guidance Explicit motion handling and interactive prompting for video camouflaged object detection,

Reference 77

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source=pdf_text observed=2026-06-27T17:31:28.553260Z digest=sha256:2709502464328c2fdfbee68e08f979c6808169f1389745416d34f06272939b8c

Observation 4dec4bba-b05c-4080-8fd1-8a0b7989e4c3 · outbound

This paper cites Where is my mirror?.

DifferSeg: Towards Diverse Multimodal Binary Segmentation via Differential Perception and Frequency Guidance Where is my mirror?

Reference 78

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source=pdf_text observed=2026-06-27T17:31:28.553260Z digest=sha256:13419fca2a31dd1b11f1c93d0f20f115937b196df421ebe74a04fed8d51f93b6

Observation ad931cf4-2c60-4cac-bd97-aebba460b6c3 · outbound

This paper cites Progressive mirror detection,.

DifferSeg: Towards Diverse Multimodal Binary Segmentation via Differential Perception and Frequency Guidance Progressive mirror detection,

Reference 79

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source=pdf_text observed=2026-06-27T17:31:28.553260Z digest=sha256:1b45e6a80be1fa6337827f56816421e9c20fbf7d5e68f6b90e49d70e7541eb9a

Observation 4c7348fa-4db8-4f9f-8add-2a5826312f47 · outbound

This paper cites Depth-aware mirror segmentation,.

DifferSeg: Towards Diverse Multimodal Binary Segmentation via Differential Perception and Frequency Guidance Depth-aware mirror segmentation,

Reference 80

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source=pdf_text observed=2026-06-27T17:31:28.553260Z digest=sha256:b2a9f4bf34f6528601dc07c94e677dd33357d5a3c65b936bc6542c811ca9dbd7

Observation 40207867-9171-4a05-930a-4b3d9166ad61 · outbound

This paper cites Learning to detect mirrors from videos via dual correspondences,.

DifferSeg: Towards Diverse Multimodal Binary Segmentation via Differential Perception and Frequency Guidance Learning to detect mirrors from videos via dual correspondences,

Reference 81

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source=pdf_text observed=2026-06-27T17:31:28.553260Z digest=sha256:8d6d68a9f437a5226ab7a7e21868745033ac395a38dc8a7c7c89589b4b9a57ef

Observation ad0b73d2-80b1-430c-9704-cabc94e11996 · outbound

This paper cites Marine animal segmentation,.

DifferSeg: Towards Diverse Multimodal Binary Segmentation via Differential Perception and Frequency Guidance Marine animal segmentation,

Reference 82

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source=pdf_text observed=2026-06-27T17:31:28.553260Z digest=sha256:61b11ce72b72ea0c25428e62bfab2a98b457ca11caa7955e7538f2b341e43e9e

Observation 1ba08b60-c31f-4333-a0a8-cc047287bb9c · outbound

This paper cites Masnet: A robust deep marine animal segmentation network,.

DifferSeg: Towards Diverse Multimodal Binary Segmentation via Differential Perception and Frequency Guidance Masnet: A robust deep marine animal segmentation network,

Reference 83

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source=pdf_text observed=2026-06-27T17:31:28.553260Z digest=sha256:3ab525417055c44a5e23e51e994f78501306e2676a5a1c501e02c3de87f0a395

Observation 9697ac5b-fcc9-457e-9ff2-9fca57fe1746 · outbound

This paper cites Large- scale training of shadow detectors with noisily-annotated shadow examples,.

DifferSeg: Towards Diverse Multimodal Binary Segmentation via Differential Perception and Frequency Guidance Large- scale training of shadow detectors with noisily-annotated shadow examples,

Reference 84

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source=pdf_text observed=2026-06-27T17:31:28.553260Z digest=sha256:c9d0ce2a2be4b7c60602c90c2eaf63a05c9dde7e4c861f0ac3e3f02b98a5ff9c

Observation 913214a5-75fa-4a87-b1ba-35ff08eedf29 · outbound

This paper cites Segmenting transparent objects in the wild,.

DifferSeg: Towards Diverse Multimodal Binary Segmentation via Differential Perception and Frequency Guidance Segmenting transparent objects in the wild,

Reference 85

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source=pdf_text observed=2026-06-27T17:31:28.553260Z digest=sha256:53b4772c13becf6c84481a305c47b5cd91aae8f6b4c37466a98def6780b651f3

Observation 179c8e83-6bad-4996-9422-3db8b589f910 · outbound

This paper cites Discriminative blur detection features,.

DifferSeg: Towards Diverse Multimodal Binary Segmentation via Differential Perception and Frequency Guidance Discriminative blur detection features,

Reference 86

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source=pdf_text observed=2026-06-27T17:31:28.553260Z digest=sha256:edee66744b9d377c135d3ef46c39c22b17aaa42fe5b47907c6ffcc400578d640

Observation 141d8284-b1e2-42d5-afd9-0d8303fed8e6 · outbound

This paper cites Fantastic animals and where to find them: Segment any marine animal with dual sam,.

DifferSeg: Towards Diverse Multimodal Binary Segmentation via Differential Perception and Frequency Guidance Fantastic animals and where to find them: Segment any marine animal with dual sam,

Reference 87

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source=pdf_text observed=2026-06-27T17:31:28.553260Z digest=sha256:2bb36e3bd1725f8315edafcf9c6d42d69f0c580e237abc2d15d2d0c15d3f7cbc

Observation 6f6b4e46-00f3-48ec-9579-f36581cf5ee4 · outbound

This paper cites Bg-uisnet: A novel boundary- guided network for robust and precise underwater image segmentation,.

DifferSeg: Towards Diverse Multimodal Binary Segmentation via Differential Perception and Frequency Guidance Bg-uisnet: A novel boundary- guided network for robust and precise underwater image segmentation,

Reference 88

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source=pdf_text observed=2026-06-27T17:31:28.553260Z digest=sha256:ad1a8747eb841ce36a15e298c270dedd30f4ba84f80c0130ef6022597cb909e1

Observation e424d36f-505b-4b3b-9170-3323cc982282 · outbound

This paper cites Automated polyp detection in colonoscopy videos using shape and context information,.

DifferSeg: Towards Diverse Multimodal Binary Segmentation via Differential Perception and Frequency Guidance Automated polyp detection in colonoscopy videos using shape and context information,

Reference 89

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source=pdf_text observed=2026-06-27T17:31:28.553260Z digest=sha256:3ed2672477fcc245ff1ea5c34f1576c88155a4248dc5812fbfa598686f451422

Observation 38f2fd98-944d-4899-a7ba-01ff8d641733 · outbound

This paper cites A benchmark for endoluminal scene segmentation of colonoscopy images,.

DifferSeg: Towards Diverse Multimodal Binary Segmentation via Differential Perception and Frequency Guidance A benchmark for endoluminal scene segmentation of colonoscopy images,

Reference 90

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source=pdf_text observed=2026-06-27T17:31:28.553260Z digest=sha256:de24a28cb94e22b66f31a9c3c0859188cd33004a2c6ae281537e93c45a1fb79d

Observation db740aed-a094-4b5a-9a89-b755d2fe5330 · outbound

This paper cites Wm-dova maps for accurate polyp highlighting in colonoscopy: Validation vs. saliency maps from physicians,.

DifferSeg: Towards Diverse Multimodal Binary Segmentation via Differential Perception and Frequency Guidance Wm-dova maps for accurate polyp highlighting in colonoscopy: Validation vs. saliency maps from physicians,

Reference 91

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source=pdf_text observed=2026-06-27T17:31:28.553260Z digest=sha256:bda55bef7193ada7dcd74ad01f1562fb02cc41f0b72547abbe513d54a9d2fe93

Observation 68692913-60d6-44ec-a4b2-f9831c58366b · outbound

This paper cites Kvasir-seg: A segmented polyp dataset,.

DifferSeg: Towards Diverse Multimodal Binary Segmentation via Differential Perception and Frequency Guidance Kvasir-seg: A segmented polyp dataset,

Reference 92

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source=pdf_text observed=2026-06-27T17:31:28.553260Z digest=sha256:115c546fe3d253b88be26284bb67263b19491000d24cdfdf330d85041c8fe515

Observation 6ed0cb97-ddcb-4b3e-ae5a-9f9e5cfc4155 · outbound

This paper cites Toward embedded detection of polyps in wce images for early diagnosis of colorectal cancer,.

DifferSeg: Towards Diverse Multimodal Binary Segmentation via Differential Perception and Frequency Guidance Toward embedded detection of polyps in wce images for early diagnosis of colorectal cancer,

Reference 93

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source=pdf_text observed=2026-06-27T17:31:28.553260Z digest=sha256:a4f50662b49bd4479cb9c4eff1364f7c1019ee5f65faaea7cc7539b68acee821

Observation 27a50462-a147-4580-8e42-40d79a5017d9 · outbound

This paper cites Inf-net: Automatic covid-19 lung infection segmentation from ct images,.

DifferSeg: Towards Diverse Multimodal Binary Segmentation via Differential Perception and Frequency Guidance Inf-net: Automatic covid-19 lung infection segmentation from ct images,

Reference 94

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source=pdf_text observed=2026-06-27T17:31:28.553260Z digest=sha256:ebf559e37909101166462da486b18a9c12dc5f2b34cbb3b76742f144710f1eb0

Observation af552bb9-34f4-4976-8355-c1900d2e413b · outbound

This paper cites Dataset of breast ultrasound images,.

DifferSeg: Towards Diverse Multimodal Binary Segmentation via Differential Perception and Frequency Guidance Dataset of breast ultrasound images,

Reference 95

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source=pdf_text observed=2026-06-27T17:31:28.553260Z digest=sha256:732c4381b3a957a749a003c7a5ad0ceecfa2ebf772f87353b360cf8c126e7e89

Observation 703156e7-0161-48cc-aba9-4f7d3b9afbad · outbound

This paper cites Skin Lesion Analysis Toward Melanoma Detection 2018: A Challenge Hosted by the International Skin Imaging Collaboration (ISIC).

DifferSeg: Towards Diverse Multimodal Binary Segmentation via Differential Perception and Frequency Guidance Skin Lesion Analysis Toward Melanoma Detection 2018: A Challenge Hosted by the International Skin Imaging Collaboration (ISIC)

Reference 96

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source=pdf_text observed=2026-06-27T17:31:28.553260Z digest=sha256:be189866d4bdc5069587e232d39355b4ad0a602bb5e89877004530cc616b10dd

Observation 72d4bd6a-ff18-48a8-8c66-366966334dbc · outbound

This paper cites Structure- measure: A new way to evaluate foreground maps,.

DifferSeg: Towards Diverse Multimodal Binary Segmentation via Differential Perception and Frequency Guidance Structure- measure: A new way to evaluate foreground maps,

Reference 97

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source=pdf_text observed=2026-06-27T17:31:28.553260Z digest=sha256:47c3df26d7c82e5e4784d794fbeb524865f89413cc7896181b3db2c2c8096f26

Observation 4223a43f-a7da-444f-a0f5-908f04002bc2 · outbound

This paper cites Frequency- tuned salient region detection,.

DifferSeg: Towards Diverse Multimodal Binary Segmentation via Differential Perception and Frequency Guidance Frequency- tuned salient region detection,

Reference 98

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source=pdf_text observed=2026-06-27T17:31:28.553260Z digest=sha256:e68e91a794eac63e0a7ebad5a00ff0914eda7b3d6cacb62bbd36423eb2c578e2

Observation 78ce21e6-9bc0-4aa0-ac90-2e10b35b9c05 · outbound

This paper cites Enhanced-alignment Measure for Binary Foreground Map Evaluation.

DifferSeg: Towards Diverse Multimodal Binary Segmentation via Differential Perception and Frequency Guidance Enhanced-alignment Measure for Binary Foreground Map Evaluation

Reference 99

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arxiv_id, observed 2026-07-03T00:07:27.840034Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-27T17:31:28.553260Z digest=sha256:3b4b01c276d078a8242013d1112afb138d098a1174d4cc14fcf251c045cd3e6e

Observation 7e48a758-ce46-4cff-b6a8-7d6c36892a85 · outbound

This paper cites Saliency filters: Contrast based filtering for salient region detection,.

DifferSeg: Towards Diverse Multimodal Binary Segmentation via Differential Perception and Frequency Guidance Saliency filters: Contrast based filtering for salient region detection,

Reference 100

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source=pdf_text observed=2026-06-27T17:31:28.553260Z digest=sha256:15e53049da745a98f126078ac6543e9df1106d2d631c842318d779fb41574cea

Pith citing papers

No inbound Pith citation observations are available.