Papers with Code 아카이브
Pedestrian Detection
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Pedestrian detection is the task of detecting pedestrians from a camera.
Further state-of-the-art results (e.g. on the KITTI dataset) can be found at 3D Object Detection.
<span style="color:grey; opacity: 0.6">( Image credit: High-level Semantic Feature Detection: A New Perspective for Pedestrian Detection )</span>
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/fairnessresearch/fairness-testing-of-autonomous-driving-systems
공식 코드Bias Behind the Wheel: Fairness Testing of Autonomous Driving Systems
https://github.com/gqding/PedestrianIQA
공식 코드Robustness Analysis of Pedestrian Detectors for Surveillance
https://github.com/hasanirtiza/Pedestron
공식 코드Center and Scale Prediction: Anchor-free Approach for Pedestrian and Face Detection
https://github.com/heitorrapela/HalluciDet
공식 코드HalluciDet: Hallucinating RGB Modality for Person Detection Through Privileged Information
https://github.com/heitorrapela/mipa
공식 코드MiPa: Mixed Patch Infrared-Visible Modality Agnostic Object Detection
https://github.com/hou-yz/MVDet
공식 코드https://github.com/huaaaliu/rgbx_semantic_segmentation
공식 코드CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers
https://github.com/huangshiyu13/RPNplus
공식 코드Expecting the Unexpected: Training Detectors for Unusual Pedestrians with Adversarial Imposters
https://github.com/jeetv/gmvd
공식 코드Bringing Generalization to Deep Multi-View Pedestrian Detection
https://github.com/jiabeiwangtju/dicl
공식 코드Deep Intra-Image Contrastive Learning for Weakly Supervised One-Step Person Search
https://github.com/josemiki/benchmarking_person_re_id
공식 코드https://github.com/julimueller/disparity-sliding-window
공식 코드Disparity Sliding Window: Object Proposals From Disparity Images
https://github.com/kimhj709/ldae
공식 코드Integrating Language-Derived Appearance Elements with Visual Cues in Pedestrian Detection
https://github.com/ldtho/pifenet
공식 코드Accurate and Real-time 3D Pedestrian Detection Using an Efficient Attentive Pillar Network
https://github.com/liuwei16/CSP
공식 코드Center and Scale Prediction: Anchor-free Approach for Pedestrian and Face Detection
https://github.com/ljpadam/CGPS
공식 코드Exploring Visual Context for Weakly Supervised Person Search
https://github.com/lmy98129/vlpd
공식 코드VLPD: Context-Aware Pedestrian Detection via Vision-Language Semantic Self-Supervision
https://github.com/mahdiyarmm/continual-pedestrian-detection
공식 코드Continual Learning for Out-of-Distribution Pedestrian Detection
https://github.com/megvii-model/CrowdDetection
공식 코드Detection in Crowded Scenes: One Proposal, Multiple Predictions
https://github.com/megvii-research/LGD
공식 코드https://github.com/meituan/yolov6
공식 코드YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications
https://github.com/miltonbd/ECCV_2018_pedestrian_detection_challenege
공식 코드Towards Pedestrian Detection Using RetinaNet in ECCV 2018 Wider Pedestrian Detection Challenge
https://github.com/mustansarfiaz/ddam-ps
공식 코드https://github.com/noboevbo/pedrec
공식 코드PedRecNet: Multi-task deep neural network for full 3D human pose and orientation estimation
https://github.com/opengvlab/hulk
공식 코드Hulk: A Universal Knowledge Translator for Human-Centric Tasks
https://github.com/opengvlab/humanbench
공식 코드HumanBench: Towards General Human-centric Perception with Projector Assisted Pretraining
https://github.com/opengvlab/unihcp
공식 코드https://github.com/potsui99/unirgb-ir
공식 코드UniRGB-IR: A Unified Framework for RGB-Infrared Semantic Tasks via Adapter Tuning
https://github.com/raileye3d/raileye3d_dataset
공식 코드RGB-D Railway Platform Monitoring and Scene Understanding for Enhanced Passenger Safety
https://github.com/rbgirshick/voc-dpm
공식 코드Scene-Specific Pedestrian Detection Based on Parallel Vision
https://github.com/s7desai/ped-mapping
공식 코드Pedestrian Behavior Maps for Safety Advisories: CHAMP Framework and Real-World Data Analysis
https://github.com/ssbin0914/Causal-Mode-Multiplexer
공식 코드Causal Mode Multiplexer: A Novel Framework for Unbiased Multispectral Pedestrian Detection
https://github.com/sty61010/crossdtr
공식 코드CrossDTR: Cross-view and Depth-guided Transformers for 3D Object Detection
https://github.com/tensorflow/lingvo
공식 코드DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D Object Detection
https://github.com/thomasverelst/blockcopy-video-processing-pytorch
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.