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 2251–2275 of 10420 papers

TitleStatusHype
Multi-level Relation Learning for Cross-domain Few-shot Hyperspectral Image ClassificationCode0
Learning to See Physical Properties with Active Sensing Motor Policies—0
Nonnegative/Binary Matrix Factorization for Image Classification using Quantum Annealing—0
Scattering Vision Transformer: Spectral Mixing Matters—0
Open-Set Face Recognition with Maximal Entropy and Objectosphere LossCode0
A Unified Framework to Enforce, Discover, and Promote Symmetry in Machine Learning—0
Continual atlas-based segmentation of prostate MRICode1
Medi-CAT: Contrastive Adversarial Training for Medical Image Classification—0
SC-MIL: Sparsely Coded Multiple Instance Learning for Whole Slide Image ClassificationCode1
Are Natural Domain Foundation Models Useful for Medical Image Classification?Code1
A Principled Hierarchical Deep Learning Approach to Joint Image Compression and Classification—0
Bridging Lottery Ticket and Grokking: Understanding Grokking from Inner Structure of NetworksCode0
Addressing Weak Decision Boundaries in Image Classification by Leveraging Web Search and Generative Models—0
TransXNet: Learning Both Global and Local Dynamics with a Dual Dynamic Token Mixer for Visual RecognitionCode2
Asymmetric Diffusion Based Channel-Adaptive Secure Wireless Semantic Communications—0
RCKD: Response-Based Cross-Task Knowledge Distillation for Pathological Image Analysis—0
DiffSpectralNet : Unveiling the Potential of Diffusion Models for Hyperspectral Image Classification—0
Analyzing Vision Transformers for Image Classification in Class Embedding SpaceCode1
Feature Guided Masked Autoencoder for Self-supervised Learning in Remote SensingCode1
Exploring Data Augmentations on Self-/Semi-/Fully- Supervised Pre-trained Models—0
Benchmark Generation Framework with Customizable Distortions for Image Classifier RobustnessCode0
Patch-Wise Self-Supervised Visual Representation Learning: A Fine-Grained ApproachCode0
MultiScale Spectral-Spatial Convolutional Transformer for Hyperspectral Image Classification—0
Deep Intrinsic Decomposition with Adversarial Learning for Hyperspectral Image ClassificationCode0
Rethinking Semi-Supervised Federated Learning: How to co-train fully-labeled and fully-unlabeled client imaging data—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