Multi-modal large language models (MLLMs) are trained based on large lan...
We explore the problem of Incremental Generalized Category Discovery (IG...
Enhancing the robustness of vision algorithms in real-world scenarios is...
At NeurIPS, American and Chinese institutions cite papers from each othe...
We address the problem of generalized category discovery (GCD) in this p...
In this paper, we tackle the problem of learning visual representations ...
Enhancing the robustness in real-world scenarios has been proven very
ch...
Contrastive learning, which aims at minimizing the distance between posi...
In this paper, we tackle the problem of novel visual category discovery,...
This paper presents the Rail-5k dataset for benchmarking the performance...
Visual pattern recognition over agricultural areas is an important
appli...
The current research focus on Content-Based Video Retrieval requires
hig...
Convolutional Neural Networks (CNNs) are prone to overfit small training...
The first Agriculture-Vision Challenge aims to encourage research in
dev...