Papers with Code 아카이브

16k

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법전체 데이터셋

하위 태스크

6

평가표

1

보존된 평가 기록

1

코드

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

https://github.com/satellogic/iquaflow-dota-obb-use-case

공식 코드

Object Detection performance variation on compressed satellite image datasets with iquaflow

https://github.com/saturnian77/asid

공식 코드

Efficient Attention-Sharing Information Distillation Transformer for Lightweight Single Image Super-Resolution

https://github.com/saturnian77/drsan

공식 코드

A Dynamic Residual Self-Attention Network for Lightweight Single Image Super-Resolution

https://github.com/sauradip/muppet

공식 코드

Multi-Modal Few-Shot Temporal Action Detection

https://github.com/sawhney-medha/memtrack

공식 코드

MEMTRACK: A Deep Learning-Based Approach to Microrobot Tracking in Dense and Low-Contrast Environments

https://github.com/say2l/dcdet

공식 코드

DCDet: Dynamic Cross-based 3D Object Detector

https://github.com/say2l/ffam

공식 코드

FFAM: Feature Factorization Activation Map for Explanation of 3D Detectors

https://github.com/sbasu276/GBCNet

공식 코드

Surpassing the Human Accuracy: Detecting Gallbladder Cancer from USG Images with Curriculum Learning

https://github.com/sbasu276/Weakly_DETR

공식 코드

Gall Bladder Cancer Detection from US Images with Only Image Level Labels

https://github.com/sbelharbi/sr-caco-2

공식 코드

SR-CACO-2: A Dataset for Confocal Fluorescence Microscopy Image Super-Resolution

https://github.com/sberbank-ai/fusion_brain_aij2021

공식 코드

Many Heads but One Brain: Fusion Brain -- a Competition and a Single Multimodal Multitask Architecture

https://github.com/scailab/paser

공식 코드

Reinforcement Learning as a Parsimonious Alternative to Prediction Cascades: A Case Study on Image Segmentation

https://github.com/scale-lab/AdaCon

공식 코드

AdaCon: Adaptive Context-Aware Object Detection for Resource-Constrained Embedded Devices

https://github.com/scheckmedia/centernet-uda

공식 코드

Unsupervised Domain Adaptation from Synthetic to Real Images for Anchorless Object Detection

https://github.com/schreiber-lab/mlgixd

공식 코드

Tracking perovskite crystallization via deep learning-based feature detection on 2D X-ray scattering data

https://github.com/schubertm/MetaDetect

공식 코드

MetaDetect: Uncertainty Quantification and Prediction Quality Estimates for Object Detection

https://github.com/sciencefans/RSA-for-object-detection

공식 코드

Recurrent Scale Approximation for Object Detection in CNN

https://github.com/sckangz/RGC

공식 코드

Robust Graph Learning from Noisy Data

https://github.com/scnu-rislab/yolo-ant

공식 코드

YOLO-Ant: A Lightweight Detector via Depthwise Separable Convolutional and Large Kernel Design for Antenna Interference Source Detection

https://github.com/scope-lab-vu/risk-aware-scene-generation-cps

공식 코드

Risk-Aware Scene Sampling for Dynamic Assurance of Autonomous Systems

https://github.com/scuwyh2000/randbox

공식 코드

Random Boxes Are Open-world Object Detectors

https://github.com/sczhou/IGNN

공식 코드

Cross-Scale Internal Graph Neural Network for Image Super-Resolution

https://github.com/sczhou/LEDNet

공식 코드

LEDNet: Joint Low-light Enhancement and Deblurring in the Dark

https://github.com/sdbuch/refine

공식 코드

Resource-Efficient Invariant Networks: Exponential Gains by Unrolled Optimization

https://github.com/sdl-asu/acla

공식 코드

Adaptive Cross-Layer Attention for Image Restoration

https://github.com/sdv4/FDPL

공식 코드

Frequency Domain-based Perceptual Loss for Super Resolution

https://github.com/sdy1999/eamnet

공식 코드

Edge-Aware Mirror Network for Camouflaged Object Detection

https://github.com/seanxuu/PWISeg

공식 코드

PWISeg: Point-based Weakly-supervised Instance Segmentation for Surgical Instruments

https://github.com/seanzhuh/awesome-open-vocabulary-detection-and-segmentation

공식 코드

A Survey on Open-Vocabulary Detection and Segmentation: Past, Present, and Future

https://github.com/sebgao/LIP

공식 코드

LIP: Local Importance-based Pooling

https://github.com/seermer/RTGen

공식 코드

RTGen: Generating Region-Text Pairs for Open-Vocabulary Object Detection

https://github.com/sefaburakokcu/finn-quantized-yolo

공식 코드

LPYOLO: Low Precision YOLO for Face Detection on FPGA

https://github.com/segments-ai/latent-diffusion-segmentation

공식 코드

A Simple Latent Diffusion Approach for Panoptic Segmentation and Mask Inpainting

https://github.com/sejinpark-cv/im-lut

공식 코드

IM-LUT: Interpolation Mixing Look-Up Tables for Image Super-Resolution

https://github.com/sekilab/RoadDamageDetector

공식 코드

Road Damage Detection Using Deep Neural Networks with Images Captured Through a Smartphone

https://github.com/sekunde/pri3d

공식 코드

Pri3D: Can 3D Priors Help 2D Representation Learning?

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