Research

Papers for “coco”

Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.

Title	Authors	Year	Source
Towards Task-Compatible Compressible Representations	Anderson de Andrade, Ivan Bajić	2024	arxiv 2405.10244
Re-Scoring Using Image-Language Similarity for Few-Shot Object Detection	Min Jae Jung, Seung Dae Han, Joohee Kim	2023	arxiv 2311.00278
Joint Neural Networks for One-shot Object Recognition and Detection	Camilo J. Vargas, Qianni Zhang, Ebroul Izquierdo	2024	arxiv 2408.00701
AM-RADIO: Agglomerative Vision Foundation Model -- Reduce All Domains Into One	Mike Ranzinger, Greg Heinrich, Jan Kautz	2023	arxiv 2312.06709
Hybrid Classification-Regression Adaptive Loss for Dense Object Detection	Yanquan Huang, Liu Wei Zhen, Yun Hao	2024	arxiv 2408.17182
Distribution-Aware Calibration for Object Detection with Noisy Bounding Boxes	Donghao Zhou, Jialin Li, Jinpeng Li	2023	arxiv 2308.12017
Mamba-YOLO-World: Marrying YOLO-World with Mamba for Open-Vocabulary Detection	Haoxuan Wang, Qingdong He, Jinlong Peng	2024	arxiv 2409.08513
Resilience of Autonomous Vehicle Object Category Detection to Universal Adversarial Perturbations	Mohammad Nayeem Teli, Seungwon Oh	2021	arxiv 2107.04749
SE-PSNet: Silhouette-based Enhancement Feature for Panoptic Segmentation Network	Shuo-En Chang, Yi-Cheng Yang, En-Ting Lin	2021	arxiv 2107.05093
SimROD: A Simple Adaptation Method for Robust Object Detection	Rindra Ramamonjison, Amin Banitalebi-Dehkordi, Xinyu Kang	2021	arxiv 2107.13389
Dynamic Multi-Scale Loss Optimization for Object Detection	Yihao Luo, Xiang Cao, Juntao Zhang	2021	arxiv 2108.04014
Selective Probabilistic Classifier Based on Hypothesis Testing	Saeed Bakhshi Germi, Esa Rahtu, Heikki Huttunen	2021	arxiv 2105.03876
How Does Heterogeneous Label Noise Impact Generalization in Neural Nets?	Bidur Khanal, Christopher Kanan	2021	arxiv 2106.15475
Unifying Multimodal Transformer for Bi-directional Image and Text Generation	Yupan Huang, Hongwei Xue, Bei Liu	2021	arxiv 2110.09753
Repaint: Improving the Generalization of Down-Stream Visual Tasks by Generating Multiple Instances of Training Examples	Amin Banitalebi-Dehkordi, Yong Zhang	2021	arxiv 2110.10366
Beyond Classification: Knowledge Distillation using Multi-Object Impressions	Gaurav Kumar Nayak, Monish Keswani, Sharan Seshadri	2021	arxiv 2110.14215
Aligning Pretraining for Detection via Object-Level Contrastive Learning	Fangyun Wei, Yue Gao, Zhirong Wu	2021	arxiv 2106.02637
Meta-Learning for Multi-Label Few-Shot Classification	Christian Simon, Piotr Koniusz, Mehrtash Harandi	2021	arxiv 2110.13494
UFO: A UniFied TransfOrmer for Vision-Language Representation Learning	Jianfeng Wang, Xiaowei Hu, Zhe Gan	2021	arxiv 2111.10023
Benchmarking Detection Transfer Learning with Vision Transformers	Yanghao Li, Saining Xie, Xinlei Chen	2021	arxiv 2111.11429

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