UniDet-D: A Unified Dynamic Spectral Attention Model for Object Detection under Adverse Weathers | Paper Citation Record

Observation 33df2b4a-7118-4e0b-9d08-90c37b73341c · outbound

This paper cites YOLOX: Exceeding YOLO Series in 2021.

UniDet-D: A Unified Dynamic Spectral Attention Model for Object Detection under Adverse Weathers YOLOX: Exceeding YOLO Series in 2021

Reference 1

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Observation 08b74ccc-1f88-484c-99a0-cc5b9c85909c · outbound

This paper cites Perception and sensing for autonomous vehicles under adverse weather conditions: A survey,.

UniDet-D: A Unified Dynamic Spectral Attention Model for Object Detection under Adverse Weathers Perception and sensing for autonomous vehicles under adverse weather conditions: A survey,

Reference 2

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Observation d32571de-8c2d-4f25-b015-07668c9ea4d7 · outbound

This paper cites Learning to remove bad weather: Towards robust visual perception for self-driving,.

UniDet-D: A Unified Dynamic Spectral Attention Model for Object Detection under Adverse Weathers Learning to remove bad weather: Towards robust visual perception for self-driving,

Reference 3

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Observation 21f1928a-1a61-4e44-bfa5-721d5c5ef239 · outbound

This paper cites Object detection in 20 years: A survey,.

UniDet-D: A Unified Dynamic Spectral Attention Model for Object Detection under Adverse Weathers Object detection in 20 years: A survey,

Reference 4

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Observation d2727097-be7b-4854-b3ea-39cdd8733b5e · outbound

This paper cites Earth- Marker: A visual prompting multi-modal large language model for remote sensing,.

UniDet-D: A Unified Dynamic Spectral Attention Model for Object Detection under Adverse Weathers Earth- Marker: A visual prompting multi-modal large language model for remote sensing,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:59:24.387689Z

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Observation 777bccbb-fed4-42de-9549-4838f4a92d7a · outbound

This paper cites EarthGPT: A universal multi-modal large language model for multi-sensor image comprehension in remote sensing domain,.

UniDet-D: A Unified Dynamic Spectral Attention Model for Object Detection under Adverse Weathers EarthGPT: A universal multi-modal large language model for multi-sensor image comprehension in remote sensing domain,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:59:24.070654Z

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Observation 2a0fcafb-7c4c-4b03-97db-2556667219ae · outbound

This paper cites Adamixer: A fast-converging query- based object detector,.

UniDet-D: A Unified Dynamic Spectral Attention Model for Object Detection under Adverse Weathers Adamixer: A fast-converging query- based object detector,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:59:23.906959Z

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Observation 4012548d-3ae8-4a33-b6ab-4e6125e75866 · outbound

This paper cites Image-adaptive yolo for object detection in adverse weather conditions,.

UniDet-D: A Unified Dynamic Spectral Attention Model for Object Detection under Adverse Weathers Image-adaptive yolo for object detection in adverse weather conditions,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:59:23.663795Z

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Observation 05e0fd9d-e9c4-4612-bbbf-cef30ea09aae · outbound

This paper cites Improving nighttime driving-scene segmentation via dual image-adaptive learnable filters,.

UniDet-D: A Unified Dynamic Spectral Attention Model for Object Detection under Adverse Weathers Improving nighttime driving-scene segmentation via dual image-adaptive learnable filters,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:59:23.332927Z

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Observation 78be9aae-fe0c-4383-8c06-b61fc7f45fa5 · outbound

This paper cites Gdip: Gated differentiable image processing for object detection in adverse conditions,.

UniDet-D: A Unified Dynamic Spectral Attention Model for Object Detection under Adverse Weathers Gdip: Gated differentiable image processing for object detection in adverse conditions,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:59:23.011971Z

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Observation c301422a-c091-4ff7-9e2e-e97f0eb68e0d · outbound

This paper cites Detection-driven exposure-correction network for nighttime drone-view object detection,.

UniDet-D: A Unified Dynamic Spectral Attention Model for Object Detection under Adverse Weathers Detection-driven exposure-correction network for nighttime drone-view object detection,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:59:22.679997Z

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Observation cd3b3bea-3af5-4f03-bc46-50ed3d4e5a2d · outbound

This paper cites CPA-Enhancer: Chain-of-Thought Prompted Adaptive Enhancer for Object Detection under Unknown Degradations.

UniDet-D: A Unified Dynamic Spectral Attention Model for Object Detection under Adverse Weathers CPA-Enhancer: Chain-of-Thought Prompted Adaptive Enhancer for Object Detection under Unknown Degradations

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-08-07T00:59:10.771598Z

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Observation 0f7a058f-c514-4d63-94f3-4f8fe945c5b9 · outbound

This paper cites Unsupervised domain adaptation of object detectors: A survey,.

UniDet-D: A Unified Dynamic Spectral Attention Model for Object Detection under Adverse Weathers Unsupervised domain adaptation of object detectors: A survey,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:59:22.347921Z

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Observation 9db63f4c-2ebe-4a69-8e9e-a294bb34544d · outbound

This paper cites Cross-domain object detection for autonomous driving: A stepwise domain adaptative yolo approach,.

UniDet-D: A Unified Dynamic Spectral Attention Model for Object Detection under Adverse Weathers Cross-domain object detection for autonomous driving: A stepwise domain adaptative yolo approach,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:59:22.077226Z

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Observation 1e5b7bc8-babc-4997-a02f-74788c7d019b · outbound

This paper cites Togethernet: Bridging image restoration and object detection together via dynamic enhancement learning,.

UniDet-D: A Unified Dynamic Spectral Attention Model for Object Detection under Adverse Weathers Togethernet: Bridging image restoration and object detection together via dynamic enhancement learning,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:59:21.791080Z

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Observation 7448aa9d-e651-45af-a251-86937ab48a1c · outbound

This paper cites Dsnet: Joint semantic learning for object detection in inclement weather conditions,.

UniDet-D: A Unified Dynamic Spectral Attention Model for Object Detection under Adverse Weathers Dsnet: Joint semantic learning for object detection in inclement weather conditions,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:59:21.427944Z

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Observation 19a4f522-8b44-4f1e-9d84-13293302eff8 · outbound

This paper cites Dehazing & reasoning yolo: Prior knowledge-guided network for object detection in foggy weather,.

UniDet-D: A Unified Dynamic Spectral Attention Model for Object Detection under Adverse Weathers Dehazing & reasoning yolo: Prior knowledge-guided network for object detection in foggy weather,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:59:21.090052Z

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Observation 6cf4ac70-4be0-4c5e-8e0c-cb4cbedf2528 · outbound

This paper cites Mdd-shipnet: Math-data integrated defogging for fog-occlusion ship detection,.

UniDet-D: A Unified Dynamic Spectral Attention Model for Object Detection under Adverse Weathers Mdd-shipnet: Math-data integrated defogging for fog-occlusion ship detection,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:59:20.883792Z

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Observation abafca12-8d73-4302-ab38-b2066e50ee4c · outbound

This paper cites Fcanet: Frequency channel attention networks,.

UniDet-D: A Unified Dynamic Spectral Attention Model for Object Detection under Adverse Weathers Fcanet: Frequency channel attention networks,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:59:20.679472Z

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Observation 4f4a6b70-bfb9-447c-b620-c69402a0797d · outbound

This paper cites Boosting night-time scene parsing with learnable frequency,.

UniDet-D: A Unified Dynamic Spectral Attention Model for Object Detection under Adverse Weathers Boosting night-time scene parsing with learnable frequency,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:59:20.488848Z

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Observation 128c0dcb-50f4-4cde-8438-a38582646318 · outbound

This paper cites Discrete cosine transform,.

UniDet-D: A Unified Dynamic Spectral Attention Model for Object Detection under Adverse Weathers Discrete cosine transform,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:59:20.218448Z

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Observation 5dfa2135-9afc-44f0-9e4c-3d64710e5d8c · outbound

This paper cites Libra r-cnn: Towards balanced learning for object detection,.

UniDet-D: A Unified Dynamic Spectral Attention Model for Object Detection under Adverse Weathers Libra r-cnn: Towards balanced learning for object detection,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:59:20.093120Z

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Observation 33e226a1-a879-49c1-b3f5-3b66295a0751 · outbound

This paper cites Dynamic r-cnn: Towards high quality object detection via dynamic training,.

UniDet-D: A Unified Dynamic Spectral Attention Model for Object Detection under Adverse Weathers Dynamic r-cnn: Towards high quality object detection via dynamic training,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:59:19.641982Z

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Observation bf29aa8d-4043-4339-bb41-59cf64d81c9b · outbound

This paper cites Selective search for object recognition,.

UniDet-D: A Unified Dynamic Spectral Attention Model for Object Detection under Adverse Weathers Selective search for object recognition,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:59:19.394858Z

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Observation b6229fd3-6fe4-4c9b-9d8a-fde227099137 · outbound

This paper cites Ssd: Single shot multibox detector,.

UniDet-D: A Unified Dynamic Spectral Attention Model for Object Detection under Adverse Weathers Ssd: Single shot multibox detector,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:59:19.179748Z

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Observation 76971bb9-7b98-4554-8b89-45a5c416983c · outbound

This paper cites Focal loss for dense object detection,.

UniDet-D: A Unified Dynamic Spectral Attention Model for Object Detection under Adverse Weathers Focal loss for dense object detection,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:59:19.017492Z

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Observation db492352-5cf9-4d1a-8662-ba7710e39d4a · outbound

This paper cites Objects as Points.

UniDet-D: A Unified Dynamic Spectral Attention Model for Object Detection under Adverse Weathers Objects as Points

Reference 27

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Observation 96cf9a42-eb6d-4007-9b09-de11bdc2f7f6 · outbound

This paper cites Yolov7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors,.

UniDet-D: A Unified Dynamic Spectral Attention Model for Object Detection under Adverse Weathers Yolov7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:59:18.792399Z

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Observation 170e4c5b-aa85-4b2b-a93d-59ec5ff0a220 · outbound

This paper cites Yolov9: Learning what you want to learn using programmable gradient information,.

UniDet-D: A Unified Dynamic Spectral Attention Model for Object Detection under Adverse Weathers Yolov9: Learning what you want to learn using programmable gradient information,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:59:18.626152Z

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Observation 4d1477a3-252a-49a3-a5bb-800fb68f70b6 · outbound

This paper cites YOLOv10: Real-Time End-to-End Object Detection.

UniDet-D: A Unified Dynamic Spectral Attention Model for Object Detection under Adverse Weathers YOLOv10: Real-Time End-to-End Object Detection

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T00:59:05.662137Z

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Observation 6b8faee5-c432-4fbd-92e0-d091c2acc056 · outbound

This paper cites Spectral unsupervised domain adaptation for visual recognition,.

UniDet-D: A Unified Dynamic Spectral Attention Model for Object Detection under Adverse Weathers Spectral unsupervised domain adaptation for visual recognition,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:59:18.413546Z

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Observation b271939b-d349-481c-89bf-f3c05645df21 · outbound

This paper cites Domain adaptive object detection for autonomous driving under foggy weather,.

UniDet-D: A Unified Dynamic Spectral Attention Model for Object Detection under Adverse Weathers Domain adaptive object detection for autonomous driving under foggy weather,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:59:18.217989Z

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Observation b55526e8-efa2-4ab4-8fc5-e3b5e3fe8cdf · outbound

This paper cites 2pcnet: Two-phase consistency training for day-to-night unsupervised domain adaptive object detection,.

UniDet-D: A Unified Dynamic Spectral Attention Model for Object Detection under Adverse Weathers 2pcnet: Two-phase consistency training for day-to-night unsupervised domain adaptive object detection,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:59:18.063861Z

Source-reported events for the cited work

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Observation 85d4893a-a963-4bf0-a986-7b4c255b014a · outbound

This paper cites R-yolo: A robust object detector in adverse weather,.

UniDet-D: A Unified Dynamic Spectral Attention Model for Object Detection under Adverse Weathers R-yolo: A robust object detector in adverse weather,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:59:17.752351Z

Source-reported events for the cited work

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Observation f3883159-c14e-4bc4-806f-ebf708596128 · outbound

This paper cites Mcnet: Magnitude consistency network for domain adaptive object detection under inclement environments,.

UniDet-D: A Unified Dynamic Spectral Attention Model for Object Detection under Adverse Weathers Mcnet: Magnitude consistency network for domain adaptive object detection under inclement environments,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:59:17.440551Z

Source-reported events for the cited work

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Observation 78b97b1e-cc0b-4410-afb7-d11cee73c40a · outbound

This paper cites Fsdr: Frequency space domain randomization for domain generalization,.

UniDet-D: A Unified Dynamic Spectral Attention Model for Object Detection under Adverse Weathers Fsdr: Frequency space domain randomization for domain generalization,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:59:17.165180Z

Source-reported events for the cited work

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Observation 5272673d-9dbe-4d8f-b264-4c4d07ab15ee · outbound

This paper cites Multitask aet with orthogonal tangent regularity for dark object detection,.

UniDet-D: A Unified Dynamic Spectral Attention Model for Object Detection under Adverse Weathers Multitask aet with orthogonal tangent regularity for dark object detection,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:59:16.870642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0837527b-0f04-4a30-8437-42d1570ab8eb · outbound

This paper cites Coderainnet: Collaborative deraining network for drone-view object detection in rainy weather conditions,.

UniDet-D: A Unified Dynamic Spectral Attention Model for Object Detection under Adverse Weathers Coderainnet: Collaborative deraining network for drone-view object detection in rainy weather conditions,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:59:16.590833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 35ad9b9b-fed7-4825-b085-4a399d43a23f · outbound

This paper cites 3d semantic segmentation in the wild: Learning generalized models for adverse-condition point clouds,.

UniDet-D: A Unified Dynamic Spectral Attention Model for Object Detection under Adverse Weathers 3d semantic segmentation in the wild: Learning generalized models for adverse-condition point clouds,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:59:16.279822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d132f357-bc07-4124-b798-fdb0f2597192 · outbound

This paper cites Degradation modeling for restoration- enhanced object detection in adverse weather scenes,.

UniDet-D: A Unified Dynamic Spectral Attention Model for Object Detection under Adverse Weathers Degradation modeling for restoration- enhanced object detection in adverse weather scenes,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:59:15.959798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 60e5d803-d21f-407e-bc49-cef34924d2cb · outbound

This paper cites Categorical reparametrization with gumble-softmax,.

UniDet-D: A Unified Dynamic Spectral Attention Model for Object Detection under Adverse Weathers Categorical reparametrization with gumble-softmax,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:59:15.596783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation de953174-a49b-4dcd-8339-66f4c20fc1c6 · outbound

This paper cites Frequency learning attention networks based on deep learning for automatic modulation classification in wireless communication,.

UniDet-D: A Unified Dynamic Spectral Attention Model for Object Detection under Adverse Weathers Frequency learning attention networks based on deep learning for automatic modulation classification in wireless communication,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:59:15.259159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1722135d-2d45-48d6-a95b-3afbe0909350 · outbound

This paper cites Restornet: An efficient network for multiple degradation image restoration,.

UniDet-D: A Unified Dynamic Spectral Attention Model for Object Detection under Adverse Weathers Restornet: An efficient network for multiple degradation image restoration,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:59:14.910367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 401cbce7-3db4-4779-8e0f-fd00a2c77561 · outbound

This paper cites All-in-one image restoration for unknown corruption,.

UniDet-D: A Unified Dynamic Spectral Attention Model for Object Detection under Adverse Weathers All-in-one image restoration for unknown corruption,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:59:14.612006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4df15f74-2765-48fc-8aac-91882501c513 · outbound

This paper cites Learning multiple adverse weather removal via two-stage knowledge learning and multi-contrastive regularization: Toward a unified model,.

UniDet-D: A Unified Dynamic Spectral Attention Model for Object Detection under Adverse Weathers Learning multiple adverse weather removal via two-stage knowledge learning and multi-contrastive regularization: Toward a unified model,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:59:14.260564Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ea71a6f8-4e94-4a42-a841-0c4bf118d9f5 · outbound

This paper cites Lmqformer: A laplace-prior-guided mask query transformer for lightweight snow removal,.

UniDet-D: A Unified Dynamic Spectral Attention Model for Object Detection under Adverse Weathers Lmqformer: A laplace-prior-guided mask query transformer for lightweight snow removal,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:59:13.885006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f1f365a7-fd53-4831-a184-09fd93867416 · outbound

This paper cites Single image haze removal using dark channel prior,.

UniDet-D: A Unified Dynamic Spectral Attention Model for Object Detection under Adverse Weathers Single image haze removal using dark channel prior,

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-07T00:59:08.780185Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3c09f6eb-504c-4dac-8496-0f8406cdee47 · outbound

This paper cites Aod-net: All-in-one dehazing network,.

UniDet-D: A Unified Dynamic Spectral Attention Model for Object Detection under Adverse Weathers Aod-net: All-in-one dehazing network,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:59:13.509066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation dd5e0cc4-f0a1-4d82-8296-5edf98fcd04d · outbound

This paper cites Contrastive learning for compact single image dehazing,.

UniDet-D: A Unified Dynamic Spectral Attention Model for Object Detection under Adverse Weathers Contrastive learning for compact single image dehazing,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:59:13.209926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7e985409-5250-4e2b-a03c-b2332a8281ec · outbound

This paper cites Zero-reference deep curve estimation for low-light image enhancement,.

UniDet-D: A Unified Dynamic Spectral Attention Model for Object Detection under Adverse Weathers Zero-reference deep curve estimation for low-light image enhancement,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:59:12.895368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ad6f6ef0-165a-409d-acf9-706aa48c2c48 · outbound

This paper cites You Only Need 90K Parameters to Adapt Light: A Light Weight Transformer for Image Enhancement and Exposure Correction.

UniDet-D: A Unified Dynamic Spectral Attention Model for Object Detection under Adverse Weathers You Only Need 90K Parameters to Adapt Light: A Light Weight Transformer for Image Enhancement and Exposure Correction

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-07T00:59:09.490671Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 28ebd2a3-1fcd-4c58-a501-e585754cfab1 · outbound

This paper cites The pascal visual object classes (voc) challenge,.

UniDet-D: A Unified Dynamic Spectral Attention Model for Object Detection under Adverse Weathers The pascal visual object classes (voc) challenge,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:59:12.489269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6abfbe52-3b19-438a-809c-8c66be56581e · outbound

This paper cites Removing raindrops and rain streaks in one go,.

UniDet-D: A Unified Dynamic Spectral Attention Model for Object Detection under Adverse Weathers Removing raindrops and rain streaks in one go,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:59:12.211525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d209cbe8-8d78-42d0-a1ff-32acef11783b · outbound

This paper cites All snow removed: Single image desnowing algo- rithm using hierarchical dual-tree complex wavelet representation and contradict channel loss,.

UniDet-D: A Unified Dynamic Spectral Attention Model for Object Detection under Adverse Weathers All snow removed: Single image desnowing algo- rithm using hierarchical dual-tree complex wavelet representation and contradict channel loss,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:59:11.946311Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 71b7b88a-c452-406b-860e-dff3030a3f27 · outbound

This paper cites Benchmarking single-image dehazing and beyond,.

UniDet-D: A Unified Dynamic Spectral Attention Model for Object Detection under Adverse Weathers Benchmarking single-image dehazing and beyond,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:59:11.504843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f5eb9d03-cffe-40d2-959c-d8d0bf988d10 · outbound

This paper cites Getting to know low-light images with the exclusively dark dataset,.

UniDet-D: A Unified Dynamic Spectral Attention Model for Object Detection under Adverse Weathers Getting to know low-light images with the exclusively dark dataset,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:59:11.182313Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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