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2D Classification
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/yancie-yjr/dbq-ssd
공식 코드DBQ-SSD: Dynamic Ball Query for Efficient 3D Object Detection
https://github.com/yang-0201/MAF-YOLO
공식 코드https://github.com/yang-0201/mhaf-yolo
공식 코드MHAF-YOLO: Multi-Branch Heterogeneous Auxiliary Fusion YOLO for accurate object detection
https://github.com/yang-song/APDLM
공식 코드https://github.com/yang-yk/NP-RepMet
공식 코드https://github.com/yangcao1996/fanet
공식 코드https://github.com/yangcaoai/3dgs-det
공식 코드https://github.com/yangcaoai/CoDA_NeurIPS2023
공식 코드https://github.com/yangfan-hu/fast-snn
공식 코드Fast-SNN: Fast Spiking Neural Network by Converting Quantized ANN
https://github.com/yanghai-1218/radet
공식 코드https://github.com/yanghtr/ssgnet
공식 코드LiDAR-Based 3D Object Detection via Hybrid 2D Semantic Scene Generation
https://github.com/yanglei18/Lite-FPN
공식 코드https://github.com/yanglei18/mix-teaching
공식 코드https://github.com/yanglei18/sgv3d
공식 코드SGV3D:Towards Scenario Generalization for Vision-based Roadside 3D Object Detection
https://github.com/yangli18/pdnet
공식 코드PDNet: Toward Better One-Stage Object Detection With Prediction Decoupling
https://github.com/yangli18/vltvg
공식 코드Improving Visual Grounding with Visual-Linguistic Verification and Iterative Reasoning
https://github.com/yangt1013/speinet
공식 코드Video Deblurring by Sharpness Prior Detection and Edge Information
https://github.com/yangtiming/imov3d
공식 코드ImOV3D: Learning Open-Vocabulary Point Clouds 3D Object Detection from Only 2D Images
https://github.com/yangxu351/synthetic_xview_airplanes
공식 코드SIMPL: Generating Synthetic Overhead Imagery to Address Zero-shot and Few-Shot Detection Problems
https://github.com/yangxue0827/RotationDetection
공식 코드R3Det: Refined Single-Stage Detector with Feature Refinement for Rotating Object
https://github.com/yangxue0827/STAR-MMRotate
공식 코드https://github.com/yangxue0827/h2rbox-jittor
공식 코드H2RBox: Horizontal Box Annotation is All You Need for Oriented Object Detection
https://github.com/yangxue0827/h2rbox-mmrotate
공식 코드H2RBox: Horizontal Box Annotation is All You Need for Oriented Object Detection
https://github.com/yangxue0827/rsg-mmrotate
공식 코드https://github.com/yangxy/pasd
공식 코드Pixel-Aware Stable Diffusion for Realistic Image Super-resolution and Personalized Stylization
https://github.com/yangxy/sdl
공식 코드https://github.com/yangyang-69/Prompt_sam_cryoPPP
공식 코드https://github.com/yangyanggirl/bos
공식 코드Bounding Box Stability against Feature Dropout Reflects Detector Generalization across Environments
https://github.com/yangyangyang127/pointclip_v2
공식 코드PointCLIP V2: Prompting CLIP and GPT for Powerful 3D Open-world Learning
https://github.com/yangzhaojason/DualDiff
공식 코드DualDiff+: Dual-Branch Diffusion for High-Fidelity Video Generation with Reward Guidance
https://github.com/yanyangbaobeiisemma/chinsepaintingstyletransfer
공식 코드Chinese Painting Style Transfer Using Deep Generative Models
https://github.com/yaohungt/Demystifying_Self_Supervised_Learning
공식 코드https://github.com/yaolu/Multi-XScience
공식 코드https://github.com/yaorong0921/driver-gaze-yolov5
공식 코드https://github.com/yaoxuexa/CNNCS
공식 코드Cell Detection in Microscopy Images with Deep Convolutional Neural Network and Compressed Sensing
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.