https://github.com/pingyang1117/PRBNet_PyTorch
공식 코드Parallel Residual Bi-Fusion Feature Pyramid Network for Accurate Single-Shot Object Detection
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Parallel Residual Bi-Fusion Feature Pyramid Network for Accurate Single-Shot Object Detection
SMILEtrack: SiMIlarity LEarning for Occlusion-Aware Multiple Object Tracking
MVSDet: Multi-View Indoor 3D Object Detection via Efficient Plane Sweeps
Uni3D: A Unified Baseline for Multi-dataset 3D Object Detection
DetZero: Rethinking Offboard 3D Object Detection with Long-term Sequential Point Clouds
Realistic Rainy Weather Simulation for LiDARs in CARLA Simulator
S^2Former-OR: Single-Stage Bi-Modal Transformer for Scene Graph Generation in OR
SIA-OVD: Shape-Invariant Adapter for Bridging the Image-Region Gap in Open-Vocabulary Detection
MPSN: Motion-aware Pseudo Siamese Network for Indoor Video Head Detection in Buildings
Revisiting Image Pyramid Structure for High Resolution Salient Object Detection
Revisiting Image Pyramid Structure for High Resolution Salient Object Detection
Threatening Patch Attacks on Object Detection in Optical Remote Sensing Images
3D Object Detection for Autonomous Driving: A Comprehensive Survey
Class-balanced Grouping and Sampling for Point Cloud 3D Object Detection
SAPA: Similarity-Aware Point Affiliation for Feature Upsampling
Multiple Instance Detection Network with Online Instance Classifier Refinement
On Generalizing Detection Models for Unconstrained Environments
YOLO-ReT: Towards High Accuracy Real-time Object Detection on Edge GPUs
Label, Verify, Correct: A Simple Few Shot Object Detection Method
Constructing Metric-Semantic Maps using Floor Plan Priors for Long-Term Indoor Localization
Fast and accurate object detection in high resolution 4K and 8K video using GPUs
Dirty Pixels: Towards End-to-End Image Processing and Perception
Seeing Through Fog Without Seeing Fog: Deep Multimodal Sensor Fusion in Unseen Adverse Weather
The Differentiable Lens: Compound Lens Search over Glass Surfaces and Materials for Object Detection
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.