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Papers for “object detection”

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

TitleAuthorsYearSource
CFC-Net: A Critical Feature Capturing Network for Arbitrary-Oriented Object Detection in Remote Sensing ImagesQi Ming, Lingjuan Miao, Zhiqiang Zhou2021arxiv 2101.06849
A Self-supervised Learning System for Object Detection using Physics Simulation and Multi-view Pose EstimationChaitanya Mitash, Kostas E. Bekris, Abdeslam Boularias2017arxiv 1703.03347
Evaluation of deep learning architectures for wildlife object detection: A comparative study of ResNet and InceptionMalach Obisa Amonga, Benard Osero, Edna Too2025arxiv 2512.15480
Monocular 3D Object Detection with Pseudo-LiDAR Point CloudXinshuo Weng, Kris Kitani2019arxiv 1903.09847
SOOD++: Leveraging Unlabeled Data to Boost Oriented Object DetectionDingkang Liang, Wei Hua, Chunsheng Shi2024arxiv 2407.01016
Feature Compression for Cloud-Edge Multimodal 3D Object DetectionChongzhen Tian, Zhengxin Li, Hui Yuan2024arxiv 2409.04123
Simple Image-level Classification Improves Open-vocabulary Object DetectionRuohuan Fang, Guansong Pang, Xiao Bai2023arxiv 2312.10439
Fully Test-Time Adaptation for Monocular 3D Object DetectionHongbin Lin, Yifan Zhang, Shuaicheng Niu2024arxiv 2405.19682
DiPEx: Dispersing Prompt Expansion for Class-Agnostic Object DetectionJia Syuen Lim, Zhuoxiao Chen, Mahsa Baktashmotlagh2024arxiv 2406.14924
Tackling the Background Bias in Sparse Object Detection via Cropped WindowsLeon Amadeus Varga, Andreas Zell2021arxiv 2106.02288
A Density-Aware PointRCNN for 3D Object Detection in Point CloudsJie Li, Yu Hu2020arxiv 2009.05307
UADA3D: Unsupervised Adversarial Domain Adaptation for 3D Object Detection with Sparse LiDAR and Large Domain GapsMaciej K Wozniak, Mattias Hansson, Marko Thiel2024arxiv 2403.17633
Sparse Generation: Making Pseudo Labels Sparse for Point Weakly Supervised Object Detection on Low Data VolumeChuyang Shang, Tian Ma, Wanzhu Ren2024arxiv 2403.19306
M^2C-EvDet: Multi-Domain Multi-Order Cross-Modal Knowledge Distillation for Event-based Object DetectionWei Bao, Siqi Li, Shouan Pan2026arxiv 2606.24248
DIODE: Dilatable Incremental Object DetectionCan Peng, Kun Zhao, Sam Maksoud2021arxiv 2108.05627
Toward Transformer-Based Object DetectionJosh Beal, Eric Kim, Eric Tzeng2020arxiv 2012.09958
Localization Distillation for Object DetectionZhaohui Zheng, Rongguang Ye, Qibin Hou2022arxiv 2204.05957
Super Sparse 3D Object DetectionLue Fan, Yuxue Yang, Feng Wang2023arxiv 2301.02562
Unsupervised Domain Adaptive Object Detection using Forward-Backward Cyclic AdaptationSiqi Yang, Lin Wu, Arnold Wiliem2020arxiv 2002.00575
DTG-SSOD: Dense Teacher Guidance for Semi-Supervised Object DetectionGang Li, Xiang Li, Yujie Wang2022arxiv 2207.05536