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09/07/2023
Evaluating the Efficacy of Supervised Learning vs Large Language Models for Identifying Cognitive Distortions and Suicidal Risks in Chinese Social Media
Large language models, particularly those akin to the rapidly progressin...
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08/29/2023
Enhancing Psychological Counseling with Large Language Model: A Multifaceted Decision-Support System for Non-Professionals
In the contemporary landscape of social media, an alarming number of use...
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03/18/2023
Uncertainty-Aware Optimal Transport for Semantically Coherent Out-of-Distribution Detection
Semantically coherent out-of-distribution (SCOOD) detection aims to disc...
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03/18/2023
Spatial-Aware Token for Weakly Supervised Object Localization
Weakly supervised object localization (WSOL) is a challenging task aimin...
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03/18/2023
Grounding 3D Object Affordance from 2D Interactions in Images
Grounding 3D object affordance seeks to locate objects' ”action possibil...
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03/18/2022
Location-Free Camouflage Generation Network
Camouflage is a common visual phenomenon, which refers to hiding the for...
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03/12/2022
Self-Sustaining Representation Expansion for Non-Exemplar Class-Incremental Learning
Non-exemplar class-incremental learning is to recognize both the old and...
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02/24/2022
Phrase-Based Affordance Detection via Cyclic Bilateral Interaction
Affordance detection, which refers to perceiving objects with potential ...
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12/01/2021
Background Activation Suppression for Weakly Supervised Object Localization
Weakly supervised object localization (WSOL) aims to localize the object...
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10/12/2021
On Exploring and Improving Robustness of Scene Text Detection Models
It is crucial to understand the robustness of text detection models with...
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08/12/2021
Learning Visual Affordance Grounding from Demonstration Videos
Visual affordance grounding aims to segment all possible interaction reg...
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08/08/2021
One-Shot Object Affordance Detection in the Wild
Affordance detection refers to identifying the potential action possibil...
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07/19/2021
Self-Promoted Prototype Refinement for Few-Shot Class-Incremental Learning
Few-shot class-incremental learning is to recognize the new classes give...
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06/28/2021
One-Shot Affordance Detection
Affordance detection refers to identifying the potential action possibil...
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04/12/2020
Self-Supervised Tuning for Few-Shot Segmentation
Few-shot segmentation aims at assigning a category label to each image p...
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05/16/2019