Papers with Code 아카이브

2D Classification

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법전체 데이터셋

하위 태스크

27

평가표

0

보존된 평가 기록

0

코드

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

https://github.com/kingkung2016/gl-dmnet

공식 코드

Dual Mutual Learning Network with Global-local Awareness for RGB-D Salient Object Detection

https://github.com/kingsonman/homeostatic-neural-networks

공식 코드

Need is All You Need: Homeostatic Neural Networks Adapt to Concept Shift

https://github.com/kini5gowda/stories

공식 코드

Telling Stories for Common Sense Zero-Shot Action Recognition

https://github.com/kinit-sk/disinformation-capabilities

공식 코드

Disinformation Capabilities of Large Language Models

https://github.com/kinit-sk/medical-misinformation-dataset

공식 코드

Monant Medical Misinformation Dataset: Mapping Articles to Fact-Checked Claims

https://github.com/kinpzz/udasod-upl

공식 코드

Unsupervised Domain Adaptive Salient Object Detection Through Uncertainty-Aware Pseudo-Label Learning

https://github.com/kinredon/umt

공식 코드

Unbiased Mean Teacher for Cross-domain Object Detection

https://github.com/kirill-vish/mixmask

공식 코드

MixMask: Revisiting Masking Strategy for Siamese ConvNets

https://github.com/kirinng/dwb

공식 코드

Backdoor for Debias: Mitigating Model Bias with Backdoor Attack-based Artificial Bias

https://github.com/kirkegaardlab/deeptangle

공식 코드

Fast spline detection in high density microscopy data

https://github.com/kirkegaardlab/deeptanglelabel

공식 코드

Fast spline detection in high density microscopy data

https://github.com/kirtsy/dermoscopicdataset

공식 코드

Towards Better Dermoscopic Image Feature Representation Learning for Melanoma Classification

https://github.com/kirubarajan/roft

공식 코드

RoFT: A Tool for Evaluating Human Detection of Machine-Generated Text

https://github.com/kist-csrc/densessd

공식 코드

Machine vision for vial positioning detection toward the safe automation of material synthesis

https://github.com/kitamoto-lab/digital-typhoon

공식 코드

Machine Learning for the Digital Typhoon Dataset: Extensions to Multiple Basins and New Developments in Representations and Tasks

https://github.com/kitware/mevid

공식 코드

MEVID: Multi-view Extended Videos with Identities for Video Person Re-Identification

https://github.com/kiyan-rezaee/systematic-literature-review-on-online-continual-learning

공식 코드

Online Continual Learning: A Systematic Literature Review of Approaches, Challenges, and Benchmarks

https://github.com/kkhoot/PAA

공식 코드

Probabilistic Anchor Assignment with IoU Prediction for Object Detection

https://github.com/kkkls/evssm

공식 코드

Efficient Visual State Space Model for Image Deblurring

https://github.com/kkkls/fftformer

공식 코드

Efficient Frequency Domain-based Transformers for High-Quality Image Deblurring

https://github.com/kky7/MSSNet

공식 코드

MSSNet: Multi-Scale-Stage Network for Single Image Deblurring

https://github.com/klayand/pcka

공식 코드

Rethinking Centered Kernel Alignment in Knowledge Distillation

https://github.com/klmav-cuc/golf-nrt

공식 코드

GoLF-NRT: Integrating Global Context and Local Geometry for Few-Shot View Synthesis

https://github.com/kmaag/Temporal-Uncertainty-Estimates

공식 코드

Improving Video Instance Segmentation by Light-weight Temporal Uncertainty Estimates

https://github.com/kmbmjn/GaussianAttentionBias

공식 코드

Understanding Gaussian Attention Bias of Vision Transformers Using Effective Receptive Fields

https://github.com/knowledge-computing/geolm

공식 코드

GeoLM: Empowering Language Models for Geospatially Grounded Language Understanding

https://github.com/kobayashikanna01/probing_MLLM_rep

공식 코드

Probing Multimodal Large Language Models for Global and Local Semantic Representations

https://github.com/kodenii/imaginarynet

공식 코드

ImaginaryNet: Learning Object Detectors without Real Images and Annotations

https://github.com/koeai/llvc

공식 코드

Low-latency Real-time Voice Conversion on CPU

https://github.com/konyul/FG-PFE

공식 코드

Fine-Grained Pillar Feature Encoding Via Spatio-Temporal Virtual Grid for 3D Object Detection

https://github.com/kopp-j/clutter-ds

공식 코드

Tackling Clutter in Radar Data -- Label Generation and Detection Using PointNet++

https://github.com/kornelhowil/clipgaussian

공식 코드

CLIPGaussian: Universal and Multimodal Style Transfer Based on Gaussian Splatting

https://github.com/kostadinovshalon/oln-ssos

공식 코드

Towards Open-World Object-based Anomaly Detection via Self-Supervised Outlier Synthesis

https://github.com/kostas1515/FRACAL

공식 코드

Fractal Calibration for long-tailed object detection

https://github.com/kostas1515/gol

공식 코드

Long-tailed Instance Segmentation using Gumbel Optimized Loss

https://github.com/koushik-n/Active-Learning-Plant-Phenotyping

공식 코드

How useful is Active Learning for Image-based Plant Phenotyping?

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