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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/h4nwei/deepdc
공식 코드DeepDC: Deep Distance Correlation as a Perceptual Image Quality Evaluator
https://github.com/h751410234/datr
공식 코드https://github.com/ha-lins/DTG-SI
공식 코드https://github.com/haarburger/multi-scale-curriculum
공식 코드Multi Scale Curriculum CNN for Context-Aware Breast MRI Malignancy Classification
https://github.com/hadi-ghnd/accidentdetection
공식 코드Real-Time Accident Detection in Traffic Surveillance Using Deep Learning
https://github.com/hadi-ghnd/scrap-classification
공식 코드https://github.com/hadipardis/svc
공식 코드https://github.com/haeyun-choi/DeepDeblurRF
공식 코드https://github.com/haha-lisa/CreativeSynth
공식 코드CreativeSynth: Cross-Art-Attention for Artistic Image Synthesis with Multimodal Diffusion
https://github.com/haha-lisa/Diffstyler
공식 코드DiffStyler: Controllable Dual Diffusion for Text-Driven Image Stylization
https://github.com/haha-lisa/style-a-video
공식 코드Style-A-Video: Agile Diffusion for Arbitrary Text-based Video Style Transfer
https://github.com/haibao-yu/ffnet-vic3d
공식 코드Vehicle-Infrastructure Cooperative 3D Object Detection via Feature Flow Prediction
https://github.com/haidongz-usc/CAT-NeRF
공식 코드CAT-NeRF: Constancy-Aware Tx$^2$Former for Dynamic Body Modeling
https://github.com/haidongz-usc/CaesarNeRF
공식 코드CaesarNeRF: Calibrated Semantic Representation for Few-shot Generalizable Neural Rendering
https://github.com/hailanyi/cpd
공식 코드Commonsense Prototype for Outdoor Unsupervised 3D Object Detection
https://github.com/hailanyi/virconv
공식 코드Virtual Sparse Convolution for Multimodal 3D Object Detection
https://github.com/haiyang-w/cagroup3d
공식 코드CAGroup3D: Class-Aware Grouping for 3D Object Detection on Point Clouds
https://github.com/haiyang-w/dsvt
공식 코드https://github.com/haiyang-w/rbgnet
공식 코드https://github.com/haiyang-w/unitr
공식 코드UniTR: A Unified and Efficient Multi-Modal Transformer for Bird's-Eye-View Representation
https://github.com/haksorus/gsplatloc
공식 코드https://github.com/halbertch/tssat
공식 코드TSSAT: Two-Stage Statistics-Aware Transformation for Artistic Style Transfer
https://github.com/hama-dl-dev/sesame
공식 코드SeSame: Simple, Easy 3D Object Detection with Point-Wise Semantics
https://github.com/hamadichihaoui/BIRD
공식 코드https://github.com/hamarh/HMNet_pth
공식 코드Hierarchical Neural Memory Network for Low Latency Event Processing
https://github.com/hamedhematian/importantnews
공식 코드KhabarChin: Automatic Detection of Important News in the Persian Language
https://github.com/hamedn/SliceNDice
공식 코드SliceNDice: Mining Suspicious Multi-attribute Entity Groups with Multi-view Graphs
https://github.com/hamidkarimi/DHSF
공식 코드Learning Hierarchical Discourse-level Structure for Fake News Detection
https://github.com/hamidkarimi/HDSF
공식 코드Learning Hierarchical Discourse-level Structure for Fake News Detection
https://github.com/hamperdredes/sood
공식 코드https://github.com/hamzafer/image-deblurring
공식 코드Efficient Transformer for High Resolution Image Motion Deblurring
https://github.com/hanbocai/badspeech_soe
공식 코드Towards Stealthy Backdoor Attacks against Speech Recognition via Elements of Sound
https://github.com/hanchaa/meformer
공식 코드https://github.com/hancyran/RepSurf
공식 코드https://github.com/hangg7/deformable-kernels/
공식 코드Deformable Kernels: Adapting Effective Receptive Fields for Object Deformation
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.