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20222026
most citedGeneralized Semantic Contrastive Learning via Embedding Side Information for Few-Shot Object Detection

9 citations · 39 across the 14 of their papers we have counts for

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5 papers · 1 filter

cs.CV2025★ 9 cited

Generalized Semantic Contrastive Learning via Embedding Side Information for Few-Shot Object Detection

Ruoyu Chen, Hua Zhang, Jingzhi Li +3

The objective of few-shot object detection (FSOD) is to detect novel objects with few training samples. The core challenge of this task is how to construct a generalized feature sp…

cs.CV2024★ 2 cited

GVformer: Graph Guided Video Vision Transformer for Face Anti-Spoofing

Jingyi Yang, Zitong Yu, Xiuming Ni +2

In videos containing spoofed faces, we may uncover the spoofing evidence based on either photometric or dynamic abnormality, even a combination of both. Prevailing face anti-spoofi…

cs.CV2024★ 1 cited

Hierarchical Invariance for Robust and Interpretable Vision Tasks at Larger Scales

Shuren Qi, Yushu Zhang, Chao Wang +3

Developing robust and interpretable vision systems is a crucial step towards trustworthy artificial intelligence. In this regard, a promising paradigm considers embedding task-requ…

cs.CV2023★ 6 cited

Spatial-Frequency Discriminability for Revealing Adversarial Perturbations

Chao Wang, Shuren Qi, Zhiqiu Huang +4

The vulnerability of deep neural networks to adversarial perturbations has been widely perceived in the computer vision community. From a security perspective, it poses a critical…

cs.CV2023★ 7 cited

Representing Noisy Image Without Denoising

Shuren Qi, Yushu Zhang, Chao Wang +3

A long-standing topic in artificial intelligence is the effective recognition of patterns from noisy images. In this regard, the recent data-driven paradigm considers 1) improving…