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평가표

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보존된 평가 기록

1

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/jinga-lala/damex

공식 코드

DAMEX: Dataset-aware Mixture-of-Experts for visual understanding of mixture-of-datasets

https://github.com/jingxiaoliu/TelecomTM

공식 코드

TelecomTM: A Fine-Grained and Ubiquitous Traffic Monitoring System Using Pre-Existing Telecommunication Fiber-Optic Cables as Sensors

https://github.com/jingy1yu/scalablemap

공식 코드

ScalableMap: Scalable Map Learning for Online Long-Range Vectorized HD Map Construction

https://github.com/jingyangxiang/maxq

공식 코드

MaxQ: Multi-Axis Query for N:M Sparsity Network

https://github.com/jingyi0000/bimem

공식 코드

Black-box Unsupervised Domain Adaptation with Bi-directional Atkinson-Shiffrin Memory

https://github.com/jingyuanchan/CVPR_AICity_2021_Anomaly_Detection

공식 코드

Dual-Modality Vehicle Anomaly Detection via Bilateral Trajectory Tracing

https://github.com/jingyunliang/hcflow

공식 코드

Hierarchical Conditional Flow: A Unified Framework for Image Super-Resolution and Image Rescaling

https://github.com/jingyunliang/manet

공식 코드

Mutual Affine Network for Spatially Variant Kernel Estimation in Blind Image Super-Resolution

https://github.com/jingyunliang/swinir

공식 코드

SwinIR: Image Restoration Using Swin Transformer

https://github.com/jingzhang617/ebmgsod

공식 코드

An Energy-Based Prior for Generative Saliency

https://github.com/jinhseo/od-wscl

공식 코드

Object Discovery via Contrastive Learning for Weakly Supervised Object Detection

https://github.com/jinlong17/advgps

공식 코드

AdvGPS: Adversarial GPS for Multi-Agent Perception Attack

https://github.com/jinlong17/bds-v2v

공식 코드

Breaking Data Silos: Cross-Domain Learning for Multi-Agent Perception from Independent Private Sources

https://github.com/jinlong17/da-detect

공식 코드

Domain Adaptive Object Detection for Autonomous Driving under Foggy Weather

https://github.com/jinlong17/v2vlc

공식 코드

Learning for Vehicle-to-Vehicle Cooperative Perception under Lossy Communication

https://github.com/jinnh/pde-net

공식 코드

Deep Posterior Distribution-based Embedding for Hyperspectral Image Super-resolution

https://github.com/jinsuyoo/SSA-VSR

공식 코드

Self-Supervised Adaptation for Video Super-Resolution

https://github.com/jinxinzhou/dream

공식 코드

DREAM: Diffusion Rectification and Estimation-Adaptive Models

https://github.com/jiny2001/dcscn-super-resolution

공식 코드

Fast and Accurate Image Super Resolution by Deep CNN with Skip Connection and Network in Network

https://github.com/jinyang06/SamGOP

공식 코드

Boosting Gaze Object Prediction via Pixel-level Supervision from Vision Foundation Model

https://github.com/jinyeying/DC-ShadowNet-Hard-and-Soft-Shadow-Removal

공식 코드

DC-ShadowNet: Single-Image Hard and Soft Shadow Removal Using Unsupervised Domain-Classifier Guided Network

https://github.com/jinyeying/DeS3_Deshadow

공식 코드

DeS3: Adaptive Attention-driven Self and Soft Shadow Removal using ViT Similarity

https://github.com/jinyeying/S-Aware-network

공식 코드

Estimating Reflectance Layer from A Single Image: Integrating Reflectance Guidance and Shadow/Specular Aware Learning

https://github.com/jinyuanli0012/pgim

공식 코드

LLMs as Bridges: Reformulating Grounded Multimodal Named Entity Recognition

https://github.com/jiwei0921/dsu

공식 코드

Promoting Saliency From Depth: Deep Unsupervised RGB-D Saliency Detection

https://github.com/jiyuuchc/lacss

공식 코드

Point-supervised Single-cell Segmentation via Collaborative Knowledge Sharing

https://github.com/jiyuuchc/lacss_jax

공식 코드

Point-supervised Single-cell Segmentation via Collaborative Knowledge Sharing

https://github.com/jjhuangcs/WINNet

공식 코드

WINNet: Wavelet-inspired Invertible Network for Image Denoising

https://github.com/jkli1998/t-car

공식 코드

Zero-Shot Scene Graph Generation via Triplet Calibration and Reduction

https://github.com/jm-xiong/rshazediff

공식 코드

RSHazeDiff: A Unified Fourier-aware Diffusion Model for Remote Sensing Image Dehazing

https://github.com/jmiemirza/dilam

공식 코드

Sit Back and Relax: Learning to Drive Incrementally in All Weather Conditions

https://github.com/jmiemirza/dua

공식 코드

The Norm Must Go On: Dynamic Unsupervised Domain Adaptation by Normalization

https://github.com/jnuchenyihong/nafrssr

공식 코드

NAFRSSR: a Lightweight Recursive Network for Efficient Stereo Image Super-Resolution

https://github.com/jo-wang/dpo

공식 코드

DPO: Dual-Perturbation Optimization for Test-time Adaptation in 3D Object Detection

https://github.com/joangog/object-detection

공식 코드

A Review and Implementation of Object Detection Models and Optimizations for Real-time Medical Mask Detection during the COVID-19 Pandemic

https://github.com/joanshen0508/HA_deblur

공식 코드

Human-Aware Motion Deblurring

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.