https://github.com/hangwei-chen/ast-iqad-srqe
공식 코드Quality Evaluation of Arbitrary Style Transfer: Subjective Study and Objective Metric
Papers with Code 아카이브
2D Classification
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/hangxu-cv/cvpr24acm
공식 코드Rethinking Boundary Discontinuity Problem for Oriented Object Detection
https://github.com/hanjanghoon/Weighted_NS
공식 코드https://github.com/hanktseng131415go/ramem
공식 코드https://github.com/hanqi-qi/matte
공식 코드https://github.com/hansam95/osasis
공식 코드https://github.com/hansd410/cross-lingfnd
공식 코드Cross-lingual Transfer Learning for Fake News Detector in a Low-Resource Language
https://github.com/hanshanley/machine-made-media
공식 코드https://github.com/hanshanley/tata
공식 코드TATA: Stance Detection via Topic-Agnostic and Topic-Aware Embeddings
https://github.com/hanwen0529/DSCSI-GAN
공식 코드Stain Style Transfer of Histopathology Images Via Structure-Preserved Generative Learning
https://github.com/hanyue1648/reft
공식 코드Reference Twice: A Simple and Unified Baseline for Few-Shot Instance Segmentation
https://github.com/hanzhouliu/deblurdinat
공식 코드DeblurDiNAT: A Compact Model with Exceptional Generalization and Visual Fidelity on Unseen Domains
https://github.com/hao1635/lit-former
공식 코드https://github.com/haochen-rye/ModEnsNet
공식 코드Group Ensemble: Learning an Ensemble of ConvNets in a single ConvNet
https://github.com/haochen-rye/nerv
공식 코드https://github.com/haoheliu/2021-ismir-mss-challenge-cws-presunet
공식 코드CWS-PResUNet: Music Source Separation with Channel-wise Subband Phase-aware ResUNet
https://github.com/haoheliu/AudioLDM
공식 코드AudioLDM: Text-to-Audio Generation with Latent Diffusion Models
https://github.com/haoning724/obbstacking
공식 코드OBBStacking: An Ensemble Method for Remote Sensing Object Detection
https://github.com/haoningwu3639/StoryGen
공식 코드Intelligent Grimm -- Open-ended Visual Storytelling via Latent Diffusion Models
https://github.com/haoqinhong/ccspnet-joint
공식 코드CCSPNet-Joint: Efficient Joint Training Method for Traffic Sign Detection Under Extreme Conditions
https://github.com/haoranzhuexplorer/ad-l-jepa-release
공식 코드https://github.com/haotian-liu/maskpoint
공식 코드Masked Discrimination for Self-Supervised Learning on Point Clouds
https://github.com/haowang-cqu/transtroj
공식 코드Model Supply Chain Poisoning: Backdooring Pre-trained Models via Embedding Indistinguishability
https://github.com/haoy945/demf
공식 코드Boosting 3D Object Detection via Object-Focused Image Fusion
https://github.com/haoygong/lpdgan
공식 코드https://github.com/haoyizhu/realrobot
공식 코드SPA: 3D Spatial-Awareness Enables Effective Embodied Representation
https://github.com/happinesslz/EPNet
공식 코드EPNet: Enhancing Point Features with Image Semantics for 3D Object Detection
https://github.com/happinesslz/LION
공식 코드LION: Linear Group RNN for 3D Object Detection in Point Clouds
https://github.com/happinesslz/epnetv2
공식 코드EPNet++: Cascade Bi-directional Fusion for Multi-Modal 3D Object Detection
https://github.com/happinesslz/fbmnet
공식 코드https://github.com/happylittlecat2333/Auffusion
공식 코드Auffusion: Leveraging the Power of Diffusion and Large Language Models for Text-to-Audio Generation
https://github.com/happynear/PainRegression
공식 코드Regularizing Face Verification Nets For Pain Intensity Regression
https://github.com/harish2006/cntxt_likelihood
공식 코드Deep neural networks can be improved using human-derived contextual expectations
https://github.com/harsh-99/SCL
공식 코드https://github.com/harshpatel1014/BioNerFlair
공식 코드BioNerFlair: biomedical named entity recognition using flair embedding and sequence tagger
https://github.com/haru-zt/ddpls
공식 코드Density-Guided Dense Pseudo Label Selection For Semi-supervised Oriented Object Detection
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.