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 1201–1225 of 10420 papers

TitleStatusHype
Pruning Networks with Cross-Layer Ranking & k-Reciprocal Nearest FiltersCode1
Faster hyperspectral image classification based on selective kernel mechanism using deep convolutional networksCode1
Source-Free Progressive Graph Learning for Open-Set Domain AdaptationCode1
DKDFN: Domain Knowledge-Guided deep collaborative fusion network for multimodal unitemporal remote sensing land cover classificationCode1
Indication as Prior Knowledge for Multimodal Disease Classification in Chest Radiographs with TransformersCode1
Open-set Adversarial Defense with Clean-Adversarial Mutual LearningCode1
CMW-Net: Learning a Class-Aware Sample Weighting Mapping for Robust Deep LearningCode1
The Dual Form of Neural Networks Revisited: Connecting Test Time Predictions to Training Patterns via Spotlights of AttentionCode1
Entroformer: A Transformer-based Entropy Model for Learned Image CompressionCode1
Class Distance Weighted Cross-Entropy Loss for Ulcerative Colitis Severity EstimationCode1
Image Difference Captioning with Pre-training and Contrastive LearningCode1
L2B: Learning to Bootstrap Robust Models for Combating Label NoiseCode1
Uncertainty Modeling for Out-of-Distribution GeneralizationCode1
data2vec: A General Framework for Self-supervised Learning in Speech, Vision and LanguageCode1
Transformers in Self-Supervised Monocular Depth Estimation with Unknown Camera IntrinsicsCode1
Diversify and Disambiguate: Learning From Underspecified DataCode1
Dataset Condensation with Contrastive SignalsCode1
No Parameters Left Behind: Sensitivity Guided Adaptive Learning Rate for Training Large Transformer ModelsCode1
Learning strides in convolutional neural networksCode1
Fast Convex Optimization for Two-Layer ReLU Networks: Equivalent Model Classes and Cone DecompositionsCode1
When Do Flat Minima Optimizers Work?Code1
Fortuitous Forgetting in Connectionist NetworksCode1
Plug-In Inversion: Model-Agnostic Inversion for Vision with Data AugmentationsCode1
Rate Coding or Direct Coding: Which One is Better for Accurate, Robust, and Energy-efficient Spiking Neural Networks?Code1
UQGAN: A Unified Model for Uncertainty Quantification of Deep Classifiers trained via Conditional GANsCode1
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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