https://github.com/woxihuanjiangguo/bevnext
공식 코드BEVNeXt: Reviving Dense BEV Frameworks for 3D Object Detection
Papers with Code 아카이브
Object Detection
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/wqshao126/dtn
공식 코드https://github.com/wqw123wqw/pftrack
공식 코드Visible-Thermal Multiple Object Tracking: Large-scale Video Dataset and Progressive Fusion Approach
https://github.com/wrld/PRoGAN
공식 코드PREGAN: Pose Randomization and Estimation for Weakly Paired Image Style Translation
https://github.com/wrslab/tubedet
공식 코드Automatically Prepare Training Data for YOLO Using Robotic In-Hand Observation and Synthesis
https://github.com/wtliao/ImageTransformer
공식 코드https://github.com/wty-yy/katacr
공식 코드Playing Non-Embedded Card-Based Games with Reinforcement Learning
https://github.com/wuer5/rrenet
공식 코드https://github.com/wufan-cse/g-nas
공식 코드G-NAS: Generalizable Neural Architecture Search for Single Domain Generalization Object Detection
https://github.com/wuhanstudio/adversarial-camera
공식 코드A Human-in-the-Middle Attack against Object Detection Systems
https://github.com/wuhanstudio/adversarial-detection
공식 코드Adversarial Detection: Attacking Object Detection in Real Time
https://github.com/wuhanstudio/whitebox-adversarial-toolbox
공식 코드A Human-in-the-Middle Attack against Object Detection Systems
https://github.com/wushuang1998/mfdc
공식 코드Multi-Faceted Distillation of Base-Novel Commonality for Few-shot Object Detection
https://github.com/wusize/clim
공식 코드CLIM: Contrastive Language-Image Mosaic for Region Representation
https://github.com/wusize/clipself
공식 코드CLIPSelf: Vision Transformer Distills Itself for Open-Vocabulary Dense Prediction
https://github.com/wusize/ovdet
공식 코드Aligning Bag of Regions for Open-Vocabulary Object Detection
https://github.com/wuyang98/CoSOD
공식 코드https://github.com/wuyongjiancode/attriprompter
공식 코드https://github.com/wuyongjiancode/vlpmnud
공식 코드Zero-shot Nuclei Detection via Visual-Language Pre-trained Models
https://github.com/wuyuebupt/doubleheadsrcnn
공식 코드Rethinking Classification and Localization for Object Detection
https://github.com/wuzhe71/CPD
공식 코드Cascaded Partial Decoder for Fast and Accurate Salient Object Detection
https://github.com/wuzhenyubuaa/dpnet
공식 코드https://github.com/wuzhenyubuaa/sodgan
공식 코드https://github.com/wvangansbeke/Revisiting-Contrastive-SSL
공식 코드Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations
https://github.com/wvuvl/DARMA
공식 코드https://github.com/wxzs5/direct-pretraining
공식 코드https://github.com/wyf-accept/backtoreality
공식 코드Back to Reality: Weakly-supervised 3D Object Detection with Shape-guided Label Enhancement
https://github.com/wyn430/wood
공식 코드https://github.com/wyze-AI/AdaptiveDistillation
공식 코드Adaptive Distillation: Aggregating Knowledge from Multiple Paths for Efficient Distillation
https://github.com/wzmsltw/painttransformer
공식 코드Paint Transformer: Feed Forward Neural Painting with Stroke Prediction
https://github.com/wzq016/pine
공식 코드Eliminating Position Bias of Language Models: A Mechanistic Approach
https://github.com/wzzheng/hass
공식 코드Hardness-Aware Scene Synthesis for Semi-Supervised 3D Object Detection
https://github.com/xahidbuffon/SVAM-Net
공식 코드SVAM: Saliency-guided Visual Attention Modeling by Autonomous Underwater Robots
https://github.com/xahidbuffon/funie-gan
공식 코드Fast Underwater Image Enhancement for Improved Visual Perception
https://github.com/xai4sar/pgd
공식 코드https://github.com/xavibou/ovdsat
공식 코드Exploring Robust Features for Few-Shot Object Detection in Satellite Imagery
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.