Implicit Counterfactual Learning for Audio-Visual Segmentation | Paper Citation Record

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This paper cites Remembering the past and imagining the future: Common and distinct neural substrates during event construction and elaboration.

Implicit Counterfactual Learning for Audio-Visual Segmentation Remembering the past and imagining the future: Common and distinct neural substrates during event construction and elaboration

Reference 1

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This paper cites Unsupervised Audio-Visual Segmentation with Modality Alignment.

Implicit Counterfactual Learning for Audio-Visual Segmentation Unsupervised Audio-Visual Segmentation with Modality Alignment

Reference 2

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This paper cites Numerics of gram-schmidt orthogonalization.

Implicit Counterfactual Learning for Audio-Visual Segmentation Numerics of gram-schmidt orthogonalization

Reference 3

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This paper cites Self-projection and the brain.

Implicit Counterfactual Learning for Audio-Visual Segmentation Self-projection and the brain

Reference 4

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This paper cites Bootstrapping Audio-Visual Segmentation by Strengthening Audio Cues.

Implicit Counterfactual Learning for Audio-Visual Segmentation Bootstrapping Audio-Visual Segmentation by Strengthening Audio Cues

Reference 5

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This paper cites Unraveling in- stance associations: A closer look for audio-visual segmenta- tion.

Implicit Counterfactual Learning for Audio-Visual Segmentation Unraveling in- stance associations: A closer look for audio-visual segmenta- tion

Reference 6

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This paper cites Cpm: Class-conditional prompting ma- chine for audio-visual segmentation.

Implicit Counterfactual Learning for Audio-Visual Segmentation Cpm: Class-conditional prompting ma- chine for audio-visual segmentation

Reference 7

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This paper cites Cpm: Class-conditional prompting ma- chine for audio-visual segmentation.

Implicit Counterfactual Learning for Audio-Visual Segmentation Cpm: Class-conditional prompting ma- chine for audio-visual segmentation

Reference 8

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This paper cites C-cam: Causal cam for weakly supervised seman- tic segmentation on medical image.

Implicit Counterfactual Learning for Audio-Visual Segmentation C-cam: Causal cam for weakly supervised seman- tic segmentation on medical image

Reference 9

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This paper cites Asi- seg: Audio-driven surgical instrument segmentation with surgeon intention understanding.

Implicit Counterfactual Learning for Audio-Visual Segmentation Asi- seg: Audio-driven surgical instrument segmentation with surgeon intention understanding

Reference 10

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This paper cites Regret and its avoidance: a neuroimaging study of choice behavior.

Implicit Counterfactual Learning for Audio-Visual Segmentation Regret and its avoidance: a neuroimaging study of choice behavior

Reference 11

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Observation fbd22937-7218-4a6c-b92f-ef4c741c36b6 · outbound

This paper cites An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion.

Implicit Counterfactual Learning for Audio-Visual Segmentation An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion

Reference 12

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This paper cites Avsegformer: Audio-visual segmentation with trans- former.

Implicit Counterfactual Learning for Audio-Visual Segmentation Avsegformer: Audio-visual segmentation with trans- former

Reference 13

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This paper cites Open- vocabulary audio-visual semantic segmentation.

Implicit Counterfactual Learning for Audio-Visual Segmentation Open- vocabulary audio-visual semantic segmentation

Reference 14

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This paper cites Embodied intelligence via learning and evolution.

Implicit Counterfactual Learning for Audio-Visual Segmentation Embodied intelligence via learning and evolution

Reference 15

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This paper cites Improving audio-visual segmenta- tion with bidirectional generation.

Implicit Counterfactual Learning for Audio-Visual Segmentation Improving audio-visual segmenta- tion with bidirectional generation

Reference 16

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This paper cites Deep residual learning for image recognition.

Implicit Counterfactual Learning for Audio-Visual Segmentation Deep residual learning for image recognition

Reference 17

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This paper cites Momentum contrast for unsupervised visual rep- resentation learning.

Implicit Counterfactual Learning for Audio-Visual Segmentation Momentum contrast for unsupervised visual rep- resentation learning

Reference 18

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Observation 11788e0e-e091-4466-80f6-be4069bbd29f · outbound

This paper cites Decoupling static and hier- archical motion perception for referring video segmentation.

Implicit Counterfactual Learning for Audio-Visual Segmentation Decoupling static and hier- archical motion perception for referring video segmentation

Reference 19

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This paper cites A general mechanism for perceptual decision-making in the human brain.

Implicit Counterfactual Learning for Audio-Visual Segmentation A general mechanism for perceptual decision-making in the human brain

Reference 20

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This paper cites Cnn archi- tectures for large-scale audio classification.

Implicit Counterfactual Learning for Audio-Visual Segmentation Cnn archi- tectures for large-scale audio classification

Reference 21

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This paper cites Aleatory and epistemic uncertainty in prob- ability elicitation with an example from hazardous waste management.

Implicit Counterfactual Learning for Audio-Visual Segmentation Aleatory and epistemic uncertainty in prob- ability elicitation with an example from hazardous waste management

Reference 22

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This paper cites Mix and local- ize: Localizing sound sources in mixtures.

Implicit Counterfactual Learning for Audio-Visual Segmentation Mix and local- ize: Localizing sound sources in mixtures

Reference 23

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This paper cites Make-an-audio: Text-to-audio gen- eration with prompt-enhanced diffusion models.

Implicit Counterfactual Learning for Audio-Visual Segmentation Make-an-audio: Text-to-audio gen- eration with prompt-enhanced diffusion models

Reference 24

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Observation 22163450-fa2b-4b2c-b5fa-5ccb7264a524 · outbound

This paper cites Discovering Sounding Objects by Audio Queries for Audio Visual Segmentation.

Implicit Counterfactual Learning for Audio-Visual Segmentation Discovering Sounding Objects by Audio Queries for Audio Visual Segmentation

Reference 25

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This paper cites Adaptive mixtures of local experts.Neu- ral computation, 3(1):79–87, 1991.

Implicit Counterfactual Learning for Audio-Visual Segmentation Adaptive mixtures of local experts.Neu- ral computation, 3(1):79–87, 1991

Reference 26

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This paper cites Counterfactually augmented event matching for de-biased temporal sentence grounding.

Implicit Counterfactual Learning for Audio-Visual Segmentation Counterfactually augmented event matching for de-biased temporal sentence grounding

Reference 27

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This paper cites Learning to visually localize sound sources from mix- tures without prior source knowledge.

Implicit Counterfactual Learning for Audio-Visual Segmentation Learning to visually localize sound sources from mix- tures without prior source knowledge

Reference 28

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This paper cites Segment Anything.

Implicit Counterfactual Learning for Audio-Visual Segmentation Segment Anything

Reference 29

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This paper cites The singular value decompo- sition: Its computation and some applications.

Implicit Counterfactual Learning for Audio-Visual Segmentation The singular value decompo- sition: Its computation and some applications

Reference 30

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This paper cites Improving vision and language concepts understanding with multimodal counterfactual samples.

Implicit Counterfactual Learning for Audio-Visual Segmentation Improving vision and language concepts understanding with multimodal counterfactual samples

Reference 31

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This paper cites Selm: Selective mechanism based audio-visual segmentation.

Implicit Counterfactual Learning for Audio-Visual Segmentation Selm: Selective mechanism based audio-visual segmentation

Reference 32

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This paper cites Catr: Combinatorial-dependence audio-queried transformer for audio-visual video segmentation.

Implicit Counterfactual Learning for Audio-Visual Segmentation Catr: Combinatorial-dependence audio-queried transformer for audio-visual video segmentation

Reference 33

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This paper cites Dice Loss for Data-imbalanced NLP Tasks.

Implicit Counterfactual Learning for Audio-Visual Segmentation Dice Loss for Data-imbalanced NLP Tasks

Reference 34

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This paper cites Qdformer: Towards ro- bust audiovisual segmentation in complex environments with quantization-based semantic decomposition.

Implicit Counterfactual Learning for Audio-Visual Segmentation Qdformer: Towards ro- bust audiovisual segmentation in complex environments with quantization-based semantic decomposition

Reference 35

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This paper cites Bavs: bootstrapping audio- visual segmentation by integrating foundation knowledge.

Implicit Counterfactual Learning for Audio-Visual Segmentation Bavs: bootstrapping audio- visual segmentation by integrating foundation knowledge

Reference 36

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This paper cites Benchmarking au- dio visual segmentation for long-untrimmed videos.

Implicit Counterfactual Learning for Audio-Visual Segmentation Benchmarking au- dio visual segmentation for long-untrimmed videos

Reference 37

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This paper cites Pay attention to mlps.

Implicit Counterfactual Learning for Audio-Visual Segmentation Pay attention to mlps

Reference 38

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This paper cites Audio-aware Query-enhanced Transformer for Audio-Visual Segmentation.

Implicit Counterfactual Learning for Audio-Visual Segmentation Audio-aware Query-enhanced Transformer for Audio-Visual Segmentation

Reference 39

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This paper cites Annotation-free Audio-Visual Segmentation.

Implicit Counterfactual Learning for Audio-Visual Segmentation Annotation-free Audio-Visual Segmentation

Reference 40

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This paper cites Audio-visual segmentation via unlabeled frame exploitation.

Implicit Counterfactual Learning for Audio-Visual Segmentation Audio-visual segmentation via unlabeled frame exploitation

Reference 41

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This paper cites Cross-modal causal relational reasoning for event-level visual question answer- ing.

Implicit Counterfactual Learning for Audio-Visual Segmentation Cross-modal causal relational reasoning for event-level visual question answer- ing

Reference 42

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This paper cites Swin transformer: Hierarchical vision transformer using shifted windows.

Implicit Counterfactual Learning for Audio-Visual Segmentation Swin transformer: Hierarchical vision transformer using shifted windows

Reference 43

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This paper cites Step- ping stones: a progressive training strategy for audio-visual semantic segmentation.

Implicit Counterfactual Learning for Audio-Visual Segmentation Step- ping stones: a progressive training strategy for audio-visual semantic segmentation

Reference 44

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This paper cites T-vsl: Text-guided visual sound source localization in mixtures.

Implicit Counterfactual Learning for Audio-Visual Segmentation T-vsl: Text-guided visual sound source localization in mixtures

Reference 45

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This paper cites Contrastive Conditional Latent Diffusion for Audio-visual Segmentation.

Implicit Counterfactual Learning for Audio-Visual Segmentation Contrastive Conditional Latent Diffusion for Audio-visual Segmentation

Reference 46

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This paper cites Multimodal variational auto-encoder based audio-visual segmentation.

Implicit Counterfactual Learning for Audio-Visual Segmentation Multimodal variational auto-encoder based audio-visual segmentation

Reference 47

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This paper cites Weakly-supervised audio- visual segmentation.

Implicit Counterfactual Learning for Audio-Visual Segmentation Weakly-supervised audio- visual segmentation

Reference 48

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This paper cites Audio-visual grouping net- work for sound localization from mixtures.

Implicit Counterfactual Learning for Audio-Visual Segmentation Audio-visual grouping net- work for sound localization from mixtures

Reference 49

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This paper cites The book of why: the new science of cause and effect.

Implicit Counterfactual Learning for Audio-Visual Segmentation The book of why: the new science of cause and effect

Reference 50

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This paper cites Learning transferable visual models from natural language supervi- sion.

Implicit Counterfactual Learning for Audio-Visual Segmentation Learning transferable visual models from natural language supervi- sion

Reference 51

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This paper cites Zero-shot text-to-image generation.

Implicit Counterfactual Learning for Audio-Visual Segmentation Zero-shot text-to-image generation

Reference 52

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This paper cites High-resolution image synthesis with latent diffusion models.

Implicit Counterfactual Learning for Audio-Visual Segmentation High-resolution image synthesis with latent diffusion models

Reference 53

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Observation 5e9251e1-5e22-4c0c-87d5-841fd30864bb · outbound

This paper cites Focal loss for dense ob- ject detection.

Implicit Counterfactual Learning for Audio-Visual Segmentation Focal loss for dense ob- ject detection

Reference 54

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This paper cites The wasserstein distance and approxi- mation theorems.

Implicit Counterfactual Learning for Audio-Visual Segmentation The wasserstein distance and approxi- mation theorems

Reference 55

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Observation f7ab43a7-705a-400e-92ea-0d19b46e369c · outbound

This paper cites Better aggregation in test-time augmentation.

Implicit Counterfactual Learning for Audio-Visual Segmentation Better aggregation in test-time augmentation

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:24:36.097862Z

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Observation ffb19ff6-108c-4007-954d-feb8189ad7d3 · outbound

This paper cites A mathematical theory of commu- nication.

Implicit Counterfactual Learning for Audio-Visual Segmentation A mathematical theory of commu- nication

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:24:35.925906Z

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Observation 99535a89-fd96-4c7c-bd56-9077b0df0bef · outbound

This paper cites Looking similar sounding different: Leveraging counterfactual cross-modal pairs for audiovisual representa- tion learning.

Implicit Counterfactual Learning for Audio-Visual Segmentation Looking similar sounding different: Leveraging counterfactual cross-modal pairs for audiovisual representa- tion learning

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:24:35.804483Z

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Observation 23110967-391c-4226-986c-db595b6da29e · outbound

This paper cites 3d audio-visual segmentation.

Implicit Counterfactual Learning for Audio-Visual Segmentation 3d audio-visual segmentation

Reference 59

Resolution: verified exact; raw_fallback, observed 2026-08-06T13:24:31.614704Z

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Observation e2a02759-95dd-43e7-ac93-50bfdd89d177 · outbound

This paper cites Unveiling and mitigating bias in audio visual segmentation.

Implicit Counterfactual Learning for Audio-Visual Segmentation Unveiling and mitigating bias in audio visual segmentation

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:24:35.702149Z

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Observation 15377690-589c-47c1-8b04-87f7639ab53a · outbound

This paper cites Learning audio-visual source localization via false negative aware contrastive learning.

Implicit Counterfactual Learning for Audio-Visual Segmentation Learning audio-visual source localization via false negative aware contrastive learning

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:24:35.572731Z

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Observation 2515ccf1-998f-4f4d-ac57-f3a328a0e817 · outbound

This paper cites Language-guided audio-visual source separation via trimodal consistency.

Implicit Counterfactual Learning for Audio-Visual Segmentation Language-guided audio-visual source separation via trimodal consistency

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:24:35.417838Z

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Observation 0c2e86cd-6ec9-4654-a9a2-c8867e76ca0a · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

Implicit Counterfactual Learning for Audio-Visual Segmentation Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 63

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Observation 8a2ca42f-3d2f-4d93-a5d3-fb2d02c7faac · outbound

This paper cites Neural discrete representation learning.

Implicit Counterfactual Learning for Audio-Visual Segmentation Neural discrete representation learning

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:24:35.232776Z

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Observation f2efaf7a-148a-4976-ac2b-eb2b10eaeb84 · outbound

This paper cites Counterfactual cycle-consistent learn- ing for instruction following and generation in vision- language navigation.

Implicit Counterfactual Learning for Audio-Visual Segmentation Counterfactual cycle-consistent learn- ing for instruction following and generation in vision- language navigation

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:24:34.985658Z

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Observation dfe75355-433d-4e55-8086-5c7bb61ea5b4 · outbound

This paper cites Vision-and-language naviga- tion via causal learning.

Implicit Counterfactual Learning for Audio-Visual Segmentation Vision-and-language naviga- tion via causal learning

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:24:34.817968Z

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Observation 6b0363dd-d240-4a07-b11c-99257ee012d2 · outbound

This paper cites Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution.

Implicit Counterfactual Learning for Audio-Visual Segmentation Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

Reference 67

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This paper cites Pvt v2: Improved baselines with pyramid vision transformer.

Implicit Counterfactual Learning for Audio-Visual Segmentation Pvt v2: Improved baselines with pyramid vision transformer

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:24:34.591109Z

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Observation 2d8e8a11-5f77-4b10-8d4c-a21c080864b3 · outbound

This paper cites Drivedreamer: Towards real-world- drive world models for autonomous driving.

Implicit Counterfactual Learning for Audio-Visual Segmentation Drivedreamer: Towards real-world- drive world models for autonomous driving

Reference 69

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Observation b00d8a91-7e04-44c4-be8e-414d4a62e7f1 · outbound

This paper cites Prompting Segmentation with Sound Is Generalizable Audio-Visual Source Localizer.

Implicit Counterfactual Learning for Audio-Visual Segmentation Prompting Segmentation with Sound Is Generalizable Audio-Visual Source Localizer

Reference 70

Resolution: verified exact; local_arxiv, observed 2026-08-06T13:24:31.372411Z

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Observation d84413af-577e-40c0-bc13-1a6e731270b3 · outbound

This paper cites Prompting segmentation with sound is gen- eralizable audio-visual source localizer.

Implicit Counterfactual Learning for Audio-Visual Segmentation Prompting segmentation with sound is gen- eralizable audio-visual source localizer

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:24:34.366851Z

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Observation 2e1162cf-9d17-4e68-b0cc-8e8d71258c23 · outbound

This paper cites Can textual semantics mitigate sounding object segmentation preference? In European Conference on Com- puter Vision, pages 340–356.

Implicit Counterfactual Learning for Audio-Visual Segmentation Can textual semantics mitigate sounding object segmentation preference? In European Conference on Com- puter Vision, pages 340–356

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:24:34.206530Z

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Observation 145afdec-8d79-44d4-a233-1db959720e1c · outbound

This paper cites Large-scale con- trastive language-audio pretraining with feature fusion and keyword-to-caption augmentation.

Implicit Counterfactual Learning for Audio-Visual Segmentation Large-scale con- trastive language-audio pretraining with feature fusion and keyword-to-caption augmentation

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:24:34.033283Z

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Observation 2f93e96f-c19c-41b4-8489-c070a09d9865 · outbound

This paper cites VideoCLIP: Contrastive Pre-training for Zero-shot Video-Text Understanding.

Implicit Counterfactual Learning for Audio-Visual Segmentation VideoCLIP: Contrastive Pre-training for Zero-shot Video-Text Understanding

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-06T13:24:30.193705Z

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Observation 25e4326e-a60c-4e3f-b7ee-99d4bb643f4a · outbound

This paper cites Referred by multi-modality: A unified tem- poral transformer for video object segmentation.

Implicit Counterfactual Learning for Audio-Visual Segmentation Referred by multi-modality: A unified tem- poral transformer for video object segmentation

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:24:33.919685Z

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Observation 5434c471-de08-4491-804c-0091f009c7c1 · outbound

This paper cites Cooperation does matter: Exploring multi-order bilateral relations for audio- visual segmentation.

Implicit Counterfactual Learning for Audio-Visual Segmentation Cooperation does matter: Exploring multi-order bilateral relations for audio- visual segmentation

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:24:33.757091Z

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Observation c1f36da8-5497-4e1f-9186-b2268aa953a2 · outbound

This paper cites Revisiting counterfactual prob- lems in referring expression comprehension.

Implicit Counterfactual Learning for Audio-Visual Segmentation Revisiting counterfactual prob- lems in referring expression comprehension

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:24:33.617230Z

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Observation fc20ea18-d27a-4797-a966-e1b8bd72dcee · outbound

This paper cites Losh: Long-short text joint prediction network for referring video object segmentation.

Implicit Counterfactual Learning for Audio-Visual Segmentation Losh: Long-short text joint prediction network for referring video object segmentation

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:24:33.459830Z

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Observation 9c325e08-f56f-4645-b594-f7a34b8e575a · outbound

This paper cites Discovering the real association: Multimodal causal rea- soning in video question answering.

Implicit Counterfactual Learning for Audio-Visual Segmentation Discovering the real association: Multimodal causal rea- soning in video question answering

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:24:33.321674Z

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Observation de25b491-8657-4d1f-8b76-893d79779aad · outbound

This paper cites Weakly- supervised mirror detection via scribble annotations.

Implicit Counterfactual Learning for Audio-Visual Segmentation Weakly- supervised mirror detection via scribble annotations

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:24:33.147692Z

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Observation 7410b16a-d8ab-4b01-b633-cbee76be50da · outbound

This paper cites Heterogeneous experts and hierarchical perception for un- derwater salient object detection.

Implicit Counterfactual Learning for Audio-Visual Segmentation Heterogeneous experts and hierarchical perception for un- derwater salient object detection

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:24:32.969158Z

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Observation 5310ff46-d21b-4fc5-836b-00592f7203dc · outbound

This paper cites Causal intervention for weakly- supervised semantic segmentation.

Implicit Counterfactual Learning for Audio-Visual Segmentation Causal intervention for weakly- supervised semantic segmentation

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:24:32.874213Z

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Observation 919094cc-387d-44d6-9e58-d36771852dd4 · outbound

This paper cites Audio–visual segmentation.

Implicit Counterfactual Learning for Audio-Visual Segmentation Audio–visual segmentation

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-06T13:24:30.918766Z

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Observation ed7a1761-fd70-4dab-bcb5-a3e28308dedc · outbound

This paper cites Audio-visual segmentation with semantics.

Implicit Counterfactual Learning for Audio-Visual Segmentation Audio-visual segmentation with semantics

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:24:32.591154Z

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Observation cc711852-876c-4aff-83cc-ffd8923a2ae3 · outbound

This paper cites Exploring pre-trained text- to-video diffusion models for referring video object segmen- tation.

Implicit Counterfactual Learning for Audio-Visual Segmentation Exploring pre-trained text- to-video diffusion models for referring video object segmen- tation

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:24:32.424693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9abe49c0-d912-40e2-9f47-04af5b5e656a · outbound

This paper cites 2, 5, 6, 8.

Implicit Counterfactual Learning for Audio-Visual Segmentation 2, 5, 6, 8

Reference 403

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:24:32.709159Z

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