Boosting Salient Object Detection with Knowledge Distillated from Large Foundation Models | Paper Citation Record

Observation 29ba482e-64d6-4f8d-a5aa-e8b44908722c · outbound

This paper cites Salient region detection by modeling distributions of color and orientation,.

Boosting Salient Object Detection with Knowledge Distillated from Large Foundation Models Salient region detection by modeling distributions of color and orientation,

Reference 1

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Observation b8e6acbb-9961-4e35-b009-dd13088612be · outbound

This paper cites Human visual system- based saliency detection for high dynamic range content,.

Boosting Salient Object Detection with Knowledge Distillated from Large Foundation Models Human visual system- based saliency detection for high dynamic range content,

Reference 2

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Observation 51259d54-e696-4e96-b501-9ffe33b23d87 · outbound

This paper cites Salient object detection in the deep learning era: An in-depth survey,.

Boosting Salient Object Detection with Knowledge Distillated from Large Foundation Models Salient object detection in the deep learning era: An in-depth survey,

Reference 3

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Observation 0f5b39bc-d2da-4523-9807-c57675b374bc · outbound

This paper cites Saliency hierarchy modeling via generative kernels for salient object detection,.

Boosting Salient Object Detection with Knowledge Distillated from Large Foundation Models Saliency hierarchy modeling via generative kernels for salient object detection,

Reference 4

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Observation a0519a47-14a3-43ee-911f-45dc2cecc05a · outbound

This paper cites Sketch2saliency: Learning to detect salient objects from human drawings,.

Boosting Salient Object Detection with Knowledge Distillated from Large Foundation Models Sketch2saliency: Learning to detect salient objects from human drawings,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:34:16.220204Z

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Observation fed198bb-e42d-4948-88c8-ccfc9c6d7854 · outbound

This paper cites Saliency for fine-grained object recognition in domains with scarce training data,.

Boosting Salient Object Detection with Knowledge Distillated from Large Foundation Models Saliency for fine-grained object recognition in domains with scarce training data,

Reference 6

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Observation 04d8fda6-5fab-4d8a-8d60-5c6f7f34126a · outbound

This paper cites Predicting radiologists’ gaze with computational saliency models in mammogram reading,.

Boosting Salient Object Detection with Knowledge Distillated from Large Foundation Models Predicting radiologists’ gaze with computational saliency models in mammogram reading,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:34:16.164061Z

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Observation 008ec51d-4471-417f-b338-6d3b941810fc · outbound

This paper cites Re-caption: Saliency-enhanced image captioning through two-phase learning,.

Boosting Salient Object Detection with Knowledge Distillated from Large Foundation Models Re-caption: Saliency-enhanced image captioning through two-phase learning,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:34:16.140667Z

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Observation a772c1c4-6e64-42fb-b583-ced5567ff042 · outbound

This paper cites Guided saliency feature learning for person re- identification in crowded scenes,.

Boosting Salient Object Detection with Knowledge Distillated from Large Foundation Models Guided saliency feature learning for person re- identification in crowded scenes,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:34:16.119536Z

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Observation 94373256-93f6-4f92-b68c-d9d42b128491 · outbound

This paper cites Weakly-supervised salient object detection via scribble annotations,.

Boosting Salient Object Detection with Knowledge Distillated from Large Foundation Models Weakly-supervised salient object detection via scribble annotations,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:34:16.098646Z

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Observation 8a2317f3-8076-421e-b753-4f7d5501e276 · outbound

This paper cites Weakly-supervised salient object detection using point supervision,.

Boosting Salient Object Detection with Knowledge Distillated from Large Foundation Models Weakly-supervised salient object detection using point supervision,

Reference 11

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Observation 47c5e4a4-a330-4e3a-a496-f99cc959c991 · outbound

This paper cites Learning deep features for discriminative localization,.

Boosting Salient Object Detection with Knowledge Distillated from Large Foundation Models Learning deep features for discriminative localization,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-10T21:34:14.021774Z

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Observation 15c82516-8e1a-4e0c-80f4-131f57d56f26 · outbound

This paper cites Deep contrast learning for salient object detection,.

Boosting Salient Object Detection with Knowledge Distillated from Large Foundation Models Deep contrast learning for salient object detection,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:34:16.039436Z

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Observation 84335e65-c295-4470-8834-09f54e1d435c · outbound

This paper cites The secrets of salient object segmentation,.

Boosting Salient Object Detection with Knowledge Distillated from Large Foundation Models The secrets of salient object segmentation,

Reference 14

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Observation 0aeb5d5b-4233-463a-a481-f9901f92d6a9 · outbound

This paper cites Hierarchical saliency detection,.

Boosting Salient Object Detection with Knowledge Distillated from Large Foundation Models Hierarchical saliency detection,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:34:15.982438Z

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Observation 0f3a79e1-685e-4994-852c-c44238c58afb · outbound

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

Boosting Salient Object Detection with Knowledge Distillated from Large Foundation Models Learning to detect salient objects with image-level supervision,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:34:15.958436Z

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Observation 0e22ed01-babe-4fc6-a7ae-b8086a9381b4 · outbound

This paper cites n-reference transfer learning for saliency prediction,.

Boosting Salient Object Detection with Knowledge Distillated from Large Foundation Models n-reference transfer learning for saliency prediction,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:34:15.922843Z

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Observation 4e9043ba-bc25-44d2-af1a-879030879b02 · outbound

This paper cites Promoting Saliency From Depth: Deep Unsupervised RGB-D Saliency Detection.

Boosting Salient Object Detection with Knowledge Distillated from Large Foundation Models Promoting Saliency From Depth: Deep Unsupervised RGB-D Saliency Detection

Reference 18

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Observation 82ba3cc6-a01e-4e39-8fe4-5f3cb1f145f2 · outbound

This paper cites Multi-source uncertainty mining for deep unsupervised saliency detection,.

Boosting Salient Object Detection with Knowledge Distillated from Large Foundation Models Multi-source uncertainty mining for deep unsupervised saliency detection,

Reference 19

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Observation ac823e29-ab5f-4444-b401-944c61514d13 · outbound

This paper cites Deep unsupervised saliency detection: A multiple noisy labeling perspective,.

Boosting Salient Object Detection with Knowledge Distillated from Large Foundation Models Deep unsupervised saliency detection: A multiple noisy labeling perspective,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:34:15.829305Z

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Observation 8d24a92c-1811-4ddc-9fd2-562d74cb8a23 · outbound

This paper cites Does thermal really always matter for rgb-t salient object detection?.

Boosting Salient Object Detection with Knowledge Distillated from Large Foundation Models Does thermal really always matter for rgb-t salient object detection?

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:34:15.797511Z

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Observation 8abe83e0-11ca-4b91-b649-6fd272682210 · outbound

This paper cites Mfnet: Multi-filter directive network for weakly supervised salient object detection,.

Boosting Salient Object Detection with Knowledge Distillated from Large Foundation Models Mfnet: Multi-filter directive network for weakly supervised salient object detection,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:34:15.767412Z

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Observation 3cb07244-1c81-48ae-ab70-0377e7a20ba8 · outbound

This paper cites Noise-sensitive adversarial learning for weakly supervised salient object detection,.

Boosting Salient Object Detection with Knowledge Distillated from Large Foundation Models Noise-sensitive adversarial learning for weakly supervised salient object detection,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:34:15.740675Z

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Observation 2b7e2e6a-e915-4c2d-8bb2-8cea8bbbf792 · outbound

This paper cites Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation,.

Boosting Salient Object Detection with Knowledge Distillated from Large Foundation Models Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation,

Reference 24

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Observation 7f4bf824-5eb4-4517-ad2e-9227e2003995 · outbound

This paper cites Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection.

Boosting Salient Object Detection with Knowledge Distillated from Large Foundation Models Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection

Reference 25

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Observation 9ded9b36-98e1-42a5-86a2-f18d898d5897 · outbound

This paper cites Segment Anything.

Boosting Salient Object Detection with Knowledge Distillated from Large Foundation Models Segment Anything

Reference 26

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Observation 16e78491-2c98-49d2-b894-7e89387dd5a3 · outbound

This paper cites Multi-source weak supervision for saliency detection,.

Boosting Salient Object Detection with Knowledge Distillated from Large Foundation Models Multi-source weak supervision for saliency detection,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:34:15.689979Z

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Observation ac594628-146a-4d85-ab34-e0e84b0f599d · outbound

This paper cites Towards end-to-end unsupervised saliency detection with self-supervised top- down context,.

Boosting Salient Object Detection with Knowledge Distillated from Large Foundation Models Towards end-to-end unsupervised saliency detection with self-supervised top- down context,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:34:15.661218Z

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Observation 5e78203f-8922-4a0d-b157-585c200d4c60 · outbound

This paper cites Structure-consistent weakly supervised salient object detection with local saliency coherence,.

Boosting Salient Object Detection with Knowledge Distillated from Large Foundation Models Structure-consistent weakly supervised salient object detection with local saliency coherence,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:34:15.626164Z

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Observation 4b356a89-e8c4-49f3-868d-8f641e96f2e7 · outbound

This paper cites Salient object detection via integrity learning,.

Boosting Salient Object Detection with Knowledge Distillated from Large Foundation Models Salient object detection via integrity learning,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:34:15.602200Z

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Observation 5f50000f-12e9-432b-a792-60040918d7da · outbound

This paper cites Microsoft coco: Common objects in context,.

Boosting Salient Object Detection with Knowledge Distillated from Large Foundation Models Microsoft coco: Common objects in context,

Reference 31

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Observation 8ae9ab08-3337-42ef-9fe9-4333fb4df330 · outbound

This paper cites The open images dataset v4: Unified image classification, object detection, and visual relationship detection at scale,.

Boosting Salient Object Detection with Knowledge Distillated from Large Foundation Models The open images dataset v4: Unified image classification, object detection, and visual relationship detection at scale,

Reference 32

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Observation d3504542-53d0-4d55-aab3-98efc9033966 · outbound

This paper cites The pascal visual object classes challenge: A retrospective,.

Boosting Salient Object Detection with Knowledge Distillated from Large Foundation Models The pascal visual object classes challenge: A retrospective,

Reference 33

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Observation c7d70223-7e30-412e-b85c-85bea36b49a1 · outbound

This paper cites Learning to upsample by learning to sample,.

Boosting Salient Object Detection with Knowledge Distillated from Large Foundation Models Learning to upsample by learning to sample,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:34:15.528242Z

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Observation be5e58b8-e761-4569-9b4d-b3c2b4333712 · outbound

This paper cites Frequency-tuned salient region detection,.

Boosting Salient Object Detection with Knowledge Distillated from Large Foundation Models Frequency-tuned salient region detection,

Reference 35

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Observation 03b160e5-4fc4-4127-907d-cd8eaf2617ed · outbound

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

Boosting Salient Object Detection with Knowledge Distillated from Large Foundation Models Saliency detection via graph-based manifold ranking,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:34:15.485588Z

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Observation 5bc46421-9b33-4742-adb6-d8b61b9fae1c · outbound

This paper cites Submodular salient region detection,.

Boosting Salient Object Detection with Knowledge Distillated from Large Foundation Models Submodular salient region detection,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:34:15.467012Z

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Observation 0ca027f9-df05-42c1-a6bd-af90b8817987 · outbound

This paper cites Non- local deep features for salient object detection,.

Boosting Salient Object Detection with Knowledge Distillated from Large Foundation Models Non- local deep features for salient object detection,

Reference 38

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Observation 7bae0eb8-ca67-4c90-82c7-9499dd61f82f · outbound

This paper cites Amulet: Aggregating multi-level convolutional features for salient object detection,.

Boosting Salient Object Detection with Knowledge Distillated from Large Foundation Models Amulet: Aggregating multi-level convolutional features for salient object detection,

Reference 39

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Observation a4753f0f-54b4-47fb-ba1b-f9efbd176027 · outbound

This paper cites Picanet: Learning pixel-wise contex- tual attention for saliency detection,.

Boosting Salient Object Detection with Knowledge Distillated from Large Foundation Models Picanet: Learning pixel-wise contex- tual attention for saliency detection,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:34:15.403583Z

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Observation c0b00226-8599-43d4-a38d-a1711f534235 · outbound

This paper cites A mutual learning method for salient object detection with intertwined multi- supervision,.

Boosting Salient Object Detection with Knowledge Distillated from Large Foundation Models A mutual learning method for salient object detection with intertwined multi- supervision,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:34:15.381987Z

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Observation 23115c20-fcd4-4049-b848-04ace3f727da · outbound

This paper cites Attentive feedback network for boundary- aware salient object detection,.

Boosting Salient Object Detection with Knowledge Distillated from Large Foundation Models Attentive feedback network for boundary- aware salient object detection,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:34:15.362919Z

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Observation baf63972-ef4c-4d2d-b770-0d53731c3c75 · outbound

This paper cites Suppress and balance: A simple gated network for salient object detection,.

Boosting Salient Object Detection with Knowledge Distillated from Large Foundation Models Suppress and balance: A simple gated network for salient object detection,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:34:15.343124Z

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Observation 1edcd7da-80e6-4ec1-889b-bd08438473be · outbound

This paper cites U2-net: Going deeper with nested u-structure for salient object detection,.

Boosting Salient Object Detection with Knowledge Distillated from Large Foundation Models U2-net: Going deeper with nested u-structure for salient object detection,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:34:15.319448Z

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Observation 33115146-7d62-4200-83d8-cdb506c2ec17 · outbound

This paper cites Edn: Salient ob- ject detection via extremely-downsampled network,.

Boosting Salient Object Detection with Knowledge Distillated from Large Foundation Models Edn: Salient ob- ject detection via extremely-downsampled network,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:34:15.294098Z

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Observation c6b28cfe-2c31-4031-9c29-cf333ceff978 · outbound

This paper cites Railroad is not a train: Saliency as pseudo-pixel supervision for weakly supervised semantic segmentation,.

Boosting Salient Object Detection with Knowledge Distillated from Large Foundation Models Railroad is not a train: Saliency as pseudo-pixel supervision for weakly supervised semantic segmentation,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:34:15.250226Z

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Observation 72573cc8-5444-4f9a-86d7-c8b5a13d4e97 · outbound

This paper cites Weakly-supervised saliency detection via salient object subitizing,.

Boosting Salient Object Detection with Knowledge Distillated from Large Foundation Models Weakly-supervised saliency detection via salient object subitizing,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:34:15.222201Z

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Observation 060daa32-17db-4a65-8693-1fbf5b0bd28d · outbound

This paper cites Weakly supervised salient object detection using image labels,.

Boosting Salient Object Detection with Knowledge Distillated from Large Foundation Models Weakly supervised salient object detection using image labels,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:34:15.198548Z

Source-reported events for the cited work

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Observation d142bd4a-3421-4edf-b8b5-aa5d62f00cc5 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Boosting Salient Object Detection with Knowledge Distillated from Large Foundation Models An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-10T21:34:14.292222Z

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Observation 27977521-0b96-4622-b04f-f6742f6e542d · outbound

This paper cites Deep residual learning for image recognition,.

Boosting Salient Object Detection with Knowledge Distillated from Large Foundation Models Deep residual learning for image recognition,

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-10T21:34:14.298083Z

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Observation 549fc63f-e739-4e51-be83-80d265cc4e55 · outbound

This paper cites Emerging properties in self-supervised vision transformers,.

Boosting Salient Object Detection with Knowledge Distillated from Large Foundation Models Emerging properties in self-supervised vision transformers,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:34:15.149721Z

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Observation 3683950f-4b79-475b-9bd4-67843c1e7825 · outbound

This paper cites Distilling self-supervised vision transformers for weakly-supervised few-shot classification & segmentation,.

Boosting Salient Object Detection with Knowledge Distillated from Large Foundation Models Distilling self-supervised vision transformers for weakly-supervised few-shot classification & segmentation,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:34:15.129236Z

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Observation 7ccd5094-ff4d-4ede-a9fe-9c6b3df51087 · outbound

This paper cites Box-based refinement for weakly supervised and unsupervised localization tasks,.

Boosting Salient Object Detection with Knowledge Distillated from Large Foundation Models Box-based refinement for weakly supervised and unsupervised localization tasks,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:34:15.107823Z

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation dd8bd58d-1bba-41ec-8159-e6ca350191e1 · outbound

This paper cites Deep sparse rectifier neural networks,.

Boosting Salient Object Detection with Knowledge Distillated from Large Foundation Models Deep sparse rectifier neural networks,

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-10T21:34:14.327284Z

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Observation e51ef93c-e2a8-43aa-ab38-27f8eaeca6df · outbound

This paper cites Batch normalization: Accelerating deep network training by reducing internal covariate shift,.

Boosting Salient Object Detection with Knowledge Distillated from Large Foundation Models Batch normalization: Accelerating deep network training by reducing internal covariate shift,

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-10T21:34:14.332971Z

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Observation 1f2cbb72-6ed0-43d5-89a8-951360fafd50 · outbound

This paper cites Image super- resolution using very deep residual channel attention networks,.

Boosting Salient Object Detection with Knowledge Distillated from Large Foundation Models Image super- resolution using very deep residual channel attention networks,

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-10T21:34:14.340091Z

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Observation db4b3441-6c82-458a-87e0-966e9bb8f449 · outbound

This paper cites A computational approach to edge detection,.

Boosting Salient Object Detection with Knowledge Distillated from Large Foundation Models A computational approach to edge detection,

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-10T21:34:14.345976Z

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Observation 12f0a102-c48a-40a3-a2c5-da04d5ad7f8c · outbound

This paper cites Normal- ized cut loss for weakly-supervised cnn segmentation,.

Boosting Salient Object Detection with Knowledge Distillated from Large Foundation Models Normal- ized cut loss for weakly-supervised cnn segmentation,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:34:15.015039Z

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Observation e0f897b0-5d3f-467f-93da-4eb600281769 · outbound

This paper cites Deeproadmapper: Extracting road topology from aerial images,.

Boosting Salient Object Detection with Knowledge Distillated from Large Foundation Models Deeproadmapper: Extracting road topology from aerial images,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:34:14.990271Z

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Observation d46beace-d324-4d1e-a50c-b3f198e431d8 · outbound

This paper cites Basnet: Boundary-aware salient object detection,.

Boosting Salient Object Detection with Knowledge Distillated from Large Foundation Models Basnet: Boundary-aware salient object detection,

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-10T21:34:14.367427Z

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Observation ea26836b-5ce7-4faa-b2cf-57be55b6cca7 · outbound

This paper cites F 3net: fusion, feedback and focus for salient object detection,.

Boosting Salient Object Detection with Knowledge Distillated from Large Foundation Models F 3net: fusion, feedback and focus for salient object detection,

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:34:14.944248Z

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Observation bf3656e1-6911-4048-b765-191bb5a7cff8 · outbound

This paper cites Label decoupling framework for salient object detection,.

Boosting Salient Object Detection with Knowledge Distillated from Large Foundation Models Label decoupling framework for salient object detection,

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:34:14.921937Z

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 5ac9ac56-cc35-4811-bc17-998f3ec8b864 · outbound

This paper cites Multi-scale interactive network for salient object detection,.

Boosting Salient Object Detection with Knowledge Distillated from Large Foundation Models Multi-scale interactive network for salient object detection,

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-10T21:34:14.388692Z

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Observation f89cce51-d7a7-4753-a98b-ba9146f41046 · outbound

This paper cites Pixels, regions, and objects: Multiple enhancement for salient object detection,.

Boosting Salient Object Detection with Knowledge Distillated from Large Foundation Models Pixels, regions, and objects: Multiple enhancement for salient object detection,

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:34:14.876102Z

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Observation 2f3f0147-ad20-49b4-8aa3-96b872407fde · outbound

This paper cites Towards a complete and detail-preserved salient object detection,.

Boosting Salient Object Detection with Knowledge Distillated from Large Foundation Models Towards a complete and detail-preserved salient object detection,

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:34:14.849927Z

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Observation ed6c0eb4-7bc5-4257-b7ac-ace7822566de · outbound

This paper cites Activation to saliency: Forming high-quality labels for unsupervised salient object detection,.

Boosting Salient Object Detection with Knowledge Distillated from Large Foundation Models Activation to saliency: Forming high-quality labels for unsupervised salient object detection,

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:34:14.829081Z

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Observation edd6529f-bb4e-42d0-8e22-57c832bf4705 · outbound

This paper cites Texture-guided saliency distilling for unsupervised salient object detection,.

Boosting Salient Object Detection with Knowledge Distillated from Large Foundation Models Texture-guided saliency distilling for unsupervised salient object detection,

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:34:14.806800Z

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Observation b5a11ea6-7f2b-425f-b570-e936cc734252 · outbound

This paper cites Imagenet large scale visual recognition challenge,.

Boosting Salient Object Detection with Knowledge Distillated from Large Foundation Models Imagenet large scale visual recognition challenge,

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-10T21:34:14.419338Z

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Observation 6b4a2294-20bf-44ba-9596-ced5216751cd · outbound

This paper cites Dropout: a simple way to prevent neural networks from overfit- ting,.

Boosting Salient Object Detection with Knowledge Distillated from Large Foundation Models Dropout: a simple way to prevent neural networks from overfit- ting,

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:34:14.770178Z

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Observation 5782f1c7-c864-4cf9-afcb-c5a218b61c25 · outbound

This paper cites Decoupled Weight Decay Regularization.

Boosting Salient Object Detection with Knowledge Distillated from Large Foundation Models Decoupled Weight Decay Regularization

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-10T21:34:14.431021Z

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Observation 60f71317-1a93-4501-ae76-8e9f5c75ba8a · outbound

This paper cites Pyramid scene parsing network,.

Boosting Salient Object Detection with Knowledge Distillated from Large Foundation Models Pyramid scene parsing network,

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:34:14.746043Z

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Observation 0ca41edd-1e70-4b9f-b71d-003673a5a1d7 · outbound

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

Boosting Salient Object Detection with Knowledge Distillated from Large Foundation Models Visual saliency based on multiscale deep features,

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:34:14.725143Z

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Observation e227bcce-dd75-42c8-b822-c92af448cb49 · outbound

This paper cites Salient object detection: A benchmark,.

Boosting Salient Object Detection with Knowledge Distillated from Large Foundation Models Salient object detection: A benchmark,

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:34:14.702574Z

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Observation e78c7d0e-36de-494a-94e0-7cb3097d00b5 · outbound

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

Boosting Salient Object Detection with Knowledge Distillated from Large Foundation Models Enhanced-alignment Measure for Binary Foreground Map Evaluation

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-10T21:34:14.458616Z

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Observation 96191dad-94fd-4425-aca6-7b3cca6ec456 · outbound

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

Boosting Salient Object Detection with Knowledge Distillated from Large Foundation Models Structure-measure: A new way to evaluate foreground maps,

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-10T21:34:14.464688Z

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