https://github.com/lbktrinh/DRU
공식 코드Dynamic Retraining-Updating Mean Teacher for Source-Free Object Detection
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Dynamic Retraining-Updating Mean Teacher for Source-Free Object Detection
TANet: Transformer-based Asymmetric Network for RGB-D Salient Object Detection
HAPI: A Large-scale Longitudinal Dataset of Commercial ML API Predictions
Robo3D: Towards Robust and Reliable 3D Perception against Corruptions
Accurate and Real-time 3D Pedestrian Detection Using an Efficient Attentive Pillar Network
Agent Attention: On the Integration of Softmax and Linear Attention
Deep Incubation: Training Large Models by Divide-and-Conquering
Deep Incubation: Training Large Models by Divide-and-Conquering
Improving the performance of object detection by preserving label distribution
Generalization-Enhanced Few-Shot Object Detection in Remote Sensing
U-DECN: End-to-End Underwater Object Detection ConvNet with Improved DeNoising Training
DPDnet: A Robust People Detector using Deep Learning with an Overhead Depth Camera
Localizing Anatomical Landmarks in Ocular Images using Zoom-In Attentive Networks
Data Generation Scheme for Thermal Modality with Edge-Guided Adversarial Conditional Diffusion Model
Video-RAG: Visually-aligned Retrieval-Augmented Long Video Comprehension
PSO-Convolutional Neural Networks with Heterogeneous Learning Rate
Deep High-Resolution Representation Learning for Human Pose Estimation
Humans need not label more humans: Occlusion Copy & Paste for Occluded Human Instance Segmentation
LEDetection: A Simple Framework for Semi-Supervised Few-Shot Object Detection
SimLTD: Simple Supervised and Semi-Supervised Long-Tailed Object Detection
Self-Knowledge Distillation with Progressive Refinement of Targets
MIC: Masked Image Consistency for Context-Enhanced Domain Adaptation
A Simple Aerial Detection Baseline of Multimodal Language Models
MonoJSG: Joint Semantic and Geometric Cost Volume for Monocular 3D Object Detection
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.