https://github.com/syxvision/fdnet
공식 코드Camouflaged Object Detection with Feature Grafting and Distractor Aware
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Camouflaged Object Detection with Feature Grafting and Distractor Aware
DSOD: Learning Deeply Supervised Object Detectors from Scratch
Improving Object Detection from Scratch via Gated Feature Reuse
Improving Object Detection from Scratch via Gated Feature Reuse
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MV-FCOS3D++: Multi-View Camera-Only 4D Object Detection with Pretrained Monocular Backbones
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ConsistencyDet: A Few-step Denoising Framework for Object Detection Using the Consistency Model
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LoLI-Street: Benchmarking Low-Light Image Enhancement and Beyond
GradAug: A New Regularization Method for Deep Neural Networks
MutualNet: Adaptive ConvNet via Mutual Learning from Network Width and Resolution
Feature Aggregation and Propagation Network for Camouflaged Object Detection
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FOVEA: Foveated Image Magnification for Autonomous Navigation
Borrow from Anywhere: Pseudo Multi-modal Object Detection in Thermal Imagery
End-to-end Interpretable Learning of Non-blind Image Deblurring
UNION: Unsupervised 3D Object Detection using Object Appearance-based Pseudo-Classes
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DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D Object Detection
MnasFPN: Learning Latency-aware Pyramid Architecture for Object Detection on Mobile Devices
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.