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코드

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

https://github.com/pernafrost/weber_law_antidiffusion

공식 코드

Weber's law based perception and the stability of animal groups

https://github.com/peterande/get-group-event-transformer

공식 코드

GET: Group Event Transformer for Event-Based Vision

https://github.com/peterande/sast

공식 코드

Scene Adaptive Sparse Transformer for Event-based Object Detection

https://github.com/peylnog/ERealSR-DGPNet

공식 코드

Efficient Real-world Image Super-Resolution Via Adaptive Directional Gradient Convolution

https://github.com/pfdp0/ContrasTR

공식 코드

Contrastive Learning for Multi-Object Tracking with Transformers

https://github.com/pfjaeger/medicaldetectiontoolkit

공식 코드

Retina U-Net: Embarrassingly Simple Exploitation of Segmentation Supervision for Medical Object Detection

https://github.com/pfnet-research/picking-instruction

공식 코드

Interactively Picking Real-World Objects with Unconstrained Spoken Language Instructions

https://github.com/pfnet/chainercv

공식 코드

ChainerCV: a Library for Deep Learning in Computer Vision

https://github.com/phi-wol/hydra

공식 코드

Unleashing HyDRa: Hybrid Fusion, Depth Consistency and Radar for Unified 3D Perception

https://github.com/philip-mueller/adpd

공식 코드

Anatomy-Driven Pathology Detection on Chest X-rays

https://github.com/philip-mueller/lovt

공식 코드

Joint Learning of Localized Representations from Medical Images and Reports

https://github.com/philip-mueller/wsrpn

공식 코드

Weakly Supervised Object Detection in Chest X-Rays with Differentiable ROI Proposal Networks and Soft ROI Pooling

https://github.com/philipposg/osdd

공식 코드

Detecting Object States vs Detecting Objects: A New Dataset and a Quantitative Experimental Study

https://github.com/philkr/magic_init

공식 코드

Data-dependent Initializations of Convolutional Neural Networks

https://github.com/phoenix-v/digeo

공식 코드

DiGeo: Discriminative Geometry-Aware Learning for Generalized Few-Shot Object Detection

https://github.com/phucnda/ha-rdet

공식 코드

HA-RDet: Hybrid Anchor Rotation Detector for Oriented Object Detection

https://github.com/phyllish/dvdet

공식 코드

Aerial Monocular 3D Object Detection

https://github.com/pic4ser/edgesrgan

공식 코드

Generative Adversarial Super-Resolution at the Edge with Knowledge Distillation

https://github.com/pierlj/aaf_framework

공식 코드

A Comparative Attention Framework for Better Few-Shot Object Detection on Aerial Images

https://github.com/pieterblok/boxal

공식 코드

Improved detection of discarded fish species through BoxAL active learning

https://github.com/piggy2021/ALGRF

공식 코드

Video Salient Object Detection via Adaptive Local-Global Refinement

https://github.com/piggyjerry/dc-net

공식 코드

DC-Net: Divide-and-Conquer for Salient Object Detection

https://github.com/pingfansong/CDLSR

공식 코드

Multimodal Image Super-resolution via Joint Sparse Representations induced by Coupled Dictionaries

https://github.com/pingyang1117/PRBNet_PyTorch

공식 코드

Parallel Residual Bi-Fusion Feature Pyramid Network for Accurate Single-Shot Object Detection

https://github.com/pingyang1117/smiletrack_official

공식 코드

SMILEtrack: SiMIlarity LEarning for Occlusion-Aware Multiple Object Tracking

https://github.com/pinkeshbadjatiya/twitter-hatespeech

공식 코드

Deep Learning for Hate Speech Detection in Tweets

https://github.com/pixie8888/mvsdet

공식 코드

MVSDet: Multi-View Indoor 3D Object Detection via Efficient Plane Sweeps

https://github.com/piyush-j/bertrlfuzzer

공식 코드

BertRLFuzzer: A BERT and Reinforcement Learning Based Fuzzer

https://github.com/piyushy1/OSMTrafficEstimation

공식 코드

Traffic Prediction Framework for OpenStreetMap using Deep Learning based Complex Event Processing and Open Traffic Cameras

https://github.com/pjl1995/CTracker

공식 코드

Chained-Tracker: Chaining Paired Attentive Regression Results for End-to-End Joint Multiple-Object Detection and Tracking

https://github.com/pjlab-adg/3dtrans

공식 코드

Uni3D: A Unified Baseline for Multi-dataset 3D Object Detection

https://github.com/pjlab-adg/detzero

공식 코드

DetZero: Rethinking Offboard 3D Object Detection with Long-term Sequential Point Clouds

https://github.com/pjlab-adg/pcsim

공식 코드

Realistic Rainy Weather Simulation for LiDARs in CARLA Simulator

https://github.com/pjlallen/s2former-or

공식 코드

S^2Former-OR: Single-Stage Bi-Modal Transformer for Scene Graph Generation in OR

https://github.com/pjlallen/udun

공식 코드

Unite-Divide-Unite: Joint Boosting Trunk and Structure for High-accuracy Dichotomous Image Segmentation

https://github.com/pk94/WVS2Benchmark

공식 코드

MuS2: A Real-World Benchmark for Sentinel-2 Multi-Image Super-Resolution

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