Long-Tailed Object Detection Pre-training: Dynamic Rebalancing Contrastive Learning with Dual Reconstruction
Pre-training plays a vital role in various vision tasks, such as object recognition and
detection. Commonly used pre-training methods, which typically rely on randomized …
detection. Commonly used pre-training methods, which typically rely on randomized …
Long-tailed object detection for multimodal remote sensing images
J Yang, M Yu, S Li, J Zhang, S Hu - Remote Sensing, 2023 - mdpi.com
With the rapid development of remote sensing technology, the application of convolutional
neural networks in remote sensing object detection has become very widespread, and some …
neural networks in remote sensing object detection has become very widespread, and some …
SimLTD: Simple Supervised and Semi-Supervised Long-Tailed Object Detection
PV Tran - arxiv preprint arxiv:2412.20047, 2024 - arxiv.org
Recent years have witnessed tremendous advances on modern visual recognition systems.
Despite such progress, many vision models still struggle with the open problem of learning …
Despite such progress, many vision models still struggle with the open problem of learning …