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Found 7 papers, 2 papers with code
ActionHub: A Large-scale Action Video Description Dataset for Zero-shot Action Recognition
With the proposed ActionHub dataset, we further propose a novel Cross-modality and Cross-action Modeling (CoCo) framework for ZSAR, which consists of a Dual Cross-modality Alignment module and a Cross-action Invariance Mining module.
Multi-EuP: The Multilingual European Parliament Dataset for Analysis of Bias in Information Retrieval
We present Multi-EuP, a new multilingual benchmark dataset, comprising 22K multi-lingual documents collected from the European Parliament, spanning 24 languages.
Towards Open-Domain Topic Classification
We introduce an open-domain topic classification system that accepts user-defined taxonomy in real time.
MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models
Multimodal Large Language Model (MLLM) relies on the powerful LLM to perform multimodal tasks, showing amazing emergent abilities in recent studies, such as writing poems based on an image.
Professional Presentation and Projected Power: A Case Study of Implicit Gender Information in English CVs
Gender discrimination in hiring is a pertinent and persistent bias in society, and a common motivating example for exploring bias in NLP.
Learning To Know Where To See: A Visibility-Aware Approach for Occluded Person Re-Identification
Several mainstream methods utilize extra cues (e. g., human pose information) to distinguish human parts from obstacles to alleviate the occlusion problem.
Spatial-Temporal Graph Convolutional Network for Video-Based Person Re-Identification
On the other hand, we observe that different frames of a video can provide complementary information for each other, and the structural information of pedestrians can provide extra discriminative cues for appearance features.
