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Tail Classes Matter: Long-Tailed Object Detection Revisited
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由 Y Zhang 著作2024 — In this paper, we propose a multi-class co-attention generation network to increase data diversity of tail classes by generating augmented samples.
Tail Classes Matter: Long-Tailed Object Detection Revisited
IEEE Xplore
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IEEE Xplore
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由 Y Zhang 著作2024 — ABSTRACT. Real-world data ubiquitously exhibit long-tailed distribu- tion, which sparks the increasing interest in long-tailed ob- ject detection (LTOD).
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tail classes matter: long-tailed object detection revisited
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2024年4月11日 — TAIL CLASSES MATTER: LONG-TAILED OBJECT DETECTION REVISITED · 1: RL-LOGO: Deep Reinforcement Learning Localization for Logo Recognition · 2: FFT ...
Forest R-CNN: Large-Vocabulary Long-Tailed Object ...
ACM Digital Library
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由 J Wu 著作2020被引用 80 次 — To alleviate the imbalanced learning caused by the long-tail phenomena, we propose a simple yet effective resampling method, NMS Resampling, to ...
Overcoming Classifier Imbalance for Long-Tail Object ...
ResearchGate
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Tail Classes Matter: Long-Tailed Object Detection Revisited. Conference Paper. Apr 2024. Yinglu Zhang · Chenbo Zhang · Lu Zhang · Shuigeng ...
Boosting Long-tailed Object Detection via Step-wise ...
arXiv
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arXiv
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由 N Dong 著作2023被引用 2 次 — Real-world data tends to follow a long-tailed distribution, where the class imbalance results in dominance of the head classes during training.
缺少字詞： Matter: Revisited.
Tianying Liu
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Tail Classes Matter: Long-Tailed Object Detection Revisited. ICASSP 2024 ... Recent Few-shot Object Detection Algorithms: A Survey with Performance Comparison.
(PDF) Long-Tailed Object Detection for Multimodal Remote ...
ResearchGate
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ResearchGate
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2024年10月22日 — To solve this problem, we propose a novel long-tailed object detection method for multimodal remote sensing images, which can effectively fuse ...
Seesaw Loss for Long-Tailed Instance Segmentation
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This work proposes Seesaw Loss to dynamically re-balance gradients of positive and negative samples for each category, with two complementary factors.
Chenbo Zhang
DBLP
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Tail Classes Matter: Long-Tailed Object Detection Revisited. ICASSP 2024 ... Hierarchical Few-Shot Object Detection: Problem, Benchmark and Method. ACM ...