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 6101–6125 of 10420 papers

TitleStatusHype
MaCP: Minimal yet Mighty Adaptation via Hierarchical Cosine Projection—0
MADS: Multi-Attribute Document Supervision for Zero-Shot Image Classification—0
Active Multi-Kernel Domain Adaptation for Hyperspectral Image Classification—0
mAedesID: Android Application for Aedes Mosquito Species Identification using Convolutional Neural Network—0
Gradient Scaling on Deep Spiking Neural Networks with Spike-Dependent Local Information—0
CosSGD: Communication-Efficient Federated Learning with a Simple Cosine-Based Quantization—0
Gradient Obfuscation Gives a False Sense of Security in Federated Learning—0
Maintaining Performance with Less Data—0
Make A Long Image Short: Adaptive Token Length for Vision Transformers—0
Make A Long Image Short: Adaptive Token Length for Vision Transformers—0
Gradient Normalization & Depth Based Decay For Deep Learning—0
A Hierarchical Fused Quantum Fuzzy Neural Network for Image Classification—0
MixDefense: A Defense-in-Depth Framework for Adversarial Example Detection Based on Statistical and Semantic Analysis—0
ExPLoit: Extracting Private Labels in Split Learning—0
A Theory of PAC Learnability under Transformation Invariances—0
PatentNet: A Large-Scale Incomplete Multiview, Multimodal, Multilabel Industrial Goods Image Database—0
Discriminative and Geometry Aware Unsupervised Domain Adaptation—0
PathM3: A Multimodal Multi-Task Multiple Instance Learning Framework for Whole Slide Image Classification and Captioning—0
Gradient-EM Bayesian Meta-learning—0
Cortical microcircuits as gated-recurrent neural networks—0
Making Vision Transformers Truly Shift-Equivariant—0
Mako: Semi-supervised continual learning with minimal labeled data via data programming—0
Malaria detection from RBC images using shallow Convolutional Neural Networks—0
A Hierarchical Deep Convolutional Neural Network and Gated Recurrent Unit Framework for Structural Damage Detection—0
Gradient-based Wang-Landau Algorithm: A Novel Sampler for Output Distribution of Neural Networks over the Input Space—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