SOTAVerified

Image Classification

Image Classification is a fundamental task in vision recognition that aims to understand and categorize an image as a whole under a specific label. Unlike object detection, which involves classification and location of multiple objects within an image, image classification typically pertains to single-object images. When the classification becomes highly detailed or reaches instance-level, it is often referred to as image retrieval, which also involves finding similar images in a large database.

Source: Metamorphic Testing for Object Detection Systems

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 4126–4150 of 10420 papers

TitleStatusHype
Patch-Wise Self-Supervised Visual Representation Learning: A Fine-Grained ApproachCode0
Benchmark Generation Framework with Customizable Distortions for Image Classifier RobustnessCode0
Deep Intrinsic Decomposition with Adversarial Learning for Hyperspectral Image ClassificationCode0
MultiScale Spectral-Spatial Convolutional Transformer for Hyperspectral Image Classification—0
GPT-4 Vision on Medical Image Classification -- A Case Study on COVID-19 Dataset—0
Sliceformer: Make Multi-head Attention as Simple as Sorting in Discriminative TasksCode0
Model Input-Output Configuration Search with Embedded Feature Selection for Sensor Time-series and Image ClassificationCode0
torchdistill Meets Hugging Face Libraries for Reproducible, Coding-Free Deep Learning Studies: A Case Study on NLP—0
Sanity checks for patch visualisation in prototype-based image classification—0
Stochastic Gradient Sampling for Enhancing Neural Networks Training—0
Interferometric Neural NetworksCode0
A Multi-Modal Multilingual Benchmark for Document Image Classification—0
Adapt Anything: Tailor Any Image Classifiers across Domains And Categories Using Text-to-Image Diffusion Models—0
Locally Differentially Private Gradient Tracking for Distributed Online Learning over Directed Graphs—0
Improving Robustness and Reliability in Medical Image Classification with Latent-Guided Diffusion and Nested-Ensembles—0
Towards long-tailed, multi-label disease classification from chest X-ray: Overview of the CXR-LT challenge—0
Federated learning compression designed for lightweight communicationsCode0
LC-TTFS: Towards Lossless Network Conversion for Spiking Neural Networks with TTFS Coding—0
Delayed Memory Unit: Modelling Temporal Dependency Through Delay GateCode0
SAMCLR: Contrastive pre-training on complex scenes using SAM for view sampling—0
Are LSTMs Good Few-Shot Learners?Code0
CLIP meets Model Zoo Experts: Pseudo-Supervision for Visual Enhancement—0
Conditional Consistency Regularization for Semi-Supervised Multi-label Image Classification—0
Boosting for Bounding the Worst-class Error—0
Using Logic Programming and Kernel-Grouping for Improving Interpretability of Convolutional Neural Networks—0
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All datasetsImageNetCIFAR-10CIFAR-100STL-10ObjectNetMNISTSVHNiNaturalist 2018ImageNet ReaLFlowers-102Clothing1Mmini WebVision 1.0

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CoCa (finetuned)Top 1 Accuracy91—Unverified
2Model soups (BASIC-L)Top 1 Accuracy90.98—Unverified
3Model soups (ViT-G/14)Top 1 Accuracy90.94—Unverified
4DaViT-GTop 1 Accuracy90.4—Unverified
5Meta Pseudo Labels (EfficientNet-L2)Top 1 Accuracy90.2—Unverified
6DaViT-HTop 1 Accuracy90.2—Unverified
7SwinV2-GTop 1 Accuracy90.17—Unverified
8MAWS (ViT-6.5B)Top 1 Accuracy90.1—Unverified
9Florence-CoSwin-HTop 1 Accuracy90.05—Unverified
10RevCol-HTop 1 Accuracy90—Unverified