https://github.com/xcyan/nips16_PTN
공식 코드Perspective Transformer Nets: Learning Single-View 3D Object Reconstruction without 3D Supervision
Papers with Code 아카이브
NLP based Person Retrival
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 1
- 평가표
- 0
- 보존된 평가 기록
- 0
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/xdxie/WAS_WordArt-Segmentation
공식 코드https://github.com/xh-liu/Open-Edit
공식 코드Open-Edit: Open-Domain Image Manipulation with Open-Vocabulary Instructions
https://github.com/xi-jia/fourier-net
공식 코드Fourier-Net: Fast Image Registration with Band-limited Deformation
https://github.com/xi-jia/lessnet
공식 코드https://github.com/xiamenwcy/IrisParseNet
공식 코드Joint Iris Segmentation and Localization Using Deep Multi-task Learning Framework
https://github.com/xiangni/DREAM
공식 코드Generalizable Resource Allocation in Stream Processing via Deep Reinforcement Learning
https://github.com/xianzuwu/Niagara
공식 코드Niagara: Normal-Integrated Geometric Affine Field for Scene Reconstruction from a Single View
https://github.com/xianzuwu/fsc
공식 코드https://github.com/xiaoaoran/FPS-Net
공식 코드FPS-Net: A Convolutional Fusion Network for Large-Scale LiDAR Point Cloud Segmentation
https://github.com/xiaobenli00/u-hmr
공식 코드https://github.com/xiaobul/cm-unet
공식 코드CM-UNet: Hybrid CNN-Mamba UNet for Remote Sensing Image Semantic Segmentation
https://github.com/xiaofang007/cto
공식 코드Rethinking Boundary Detection in Deep Learning Models for Medical Image Segmentation
https://github.com/xiaofei05/tsst
공식 코드https://github.com/xiaogang00/dp3df
공식 코드https://github.com/xiaojunxu/multi-bit-text-watermark
공식 코드https://github.com/xiaolinandy/rods
공식 코드Other Roles Matter! Enhancing Role-Oriented Dialogue Summarization via Role Interactions
https://github.com/xiaolul2/mgmap
공식 코드MGMap: Mask-Guided Learning for Online Vectorized HD Map Construction
https://github.com/xiaolul2/uigenmap
공식 코드Uncertainty-Instructed Structure Injection for Generalizable HD Map Construction
https://github.com/xiaomi/subllm
공식 코드SUBLLM: A Novel Efficient Architecture with Token Sequence Subsampling for LLM
https://github.com/xiaoqi-zhao-dlut/msnet
공식 코드M$^{2}$SNet: Multi-scale in Multi-scale Subtraction Network for Medical Image Segmentation
https://github.com/xiarho/semat
공식 코드Towards Natural Image Matting in the Wild via Real-Scenario Prior
https://github.com/xieenze/Trans2Seg
공식 코드https://github.com/xincoder/GRIP
공식 코드GRIP++: Enhanced Graph-based Interaction-aware Trajectory Prediction for Autonomous Driving
https://github.com/xingaoli/dp-hoi
공식 코드Disentangled Pre-training for Human-Object Interaction Detection
https://github.com/xinghaochen/DECO
공식 코드https://github.com/xingp/dgfnet
공식 코드Multi-Agent Trajectory Prediction with Difficulty-Guided Feature Enhancement Network
https://github.com/xingqunqi-lab/gkd-framework
공식 코드Exploring Generalizable Distillation for Efficient Medical Image Segmentation
https://github.com/xingyuansun/amorsyn
공식 코드Amortized Synthesis of Constrained Configurations Using a Differentiable Surrogate
https://github.com/xinjie-q/boosting-nerv
공식 코드Boosting Neural Representations for Videos with a Conditional Decoder
https://github.com/xinjie-q/camsic
공식 코드CAMSIC: Content-aware Masked Image Modeling Transformer for Stereo Image Compression
https://github.com/xinjie-q/distributed-dvc
공식 코드Low-complexity Deep Video Compression with A Distributed Coding Architecture
https://github.com/xinjie-q/ldmic
공식 코드https://github.com/xinlihao/aero
공식 코드From Chaos to Clarity: Time Series Anomaly Detection in Astronomical Observations
https://github.com/xinmengxu/uformer
공식 코드U-Former: Improving Monaural Speech Enhancement with Multi-head Self and Cross Attention
https://github.com/xinshengwang/Show-and-Speak
공식 코드Show and Speak: Directly Synthesize Spoken Description of Images
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.