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 4176–4200 of 10420 papers

TitleStatusHype
Histopathological Image Classification and Vulnerability Analysis using Federated Learning—0
Does resistance to style-transfer equal Global Shape Bias? Measuring network sensitivity to global shape configurationCode0
Multiview Transformer: Rethinking Spatial Information in Hyperspectral Image Classification—0
SpikeCLIP: A Contrastive Language-Image Pretrained Spiking Neural NetworkCode0
Adversarial Masked Image Inpainting for Robust Detection of Mpox and Non-Mpox—0
Utilizing Synthetic Data for Medical Vision-Language Pre-training: Bypassing the Need for Real ImagesCode0
Distributed Transfer Learning with 4th Gen Intel Xeon Processors—0
ViTs are Everywhere: A Comprehensive Study Showcasing Vision Transformers in Different Domain—0
Hierarchical Side-Tuning for Vision Transformers—0
Text-driven Prompt Generation for Vision-Language Models in Federated Learning—0
What do larger image classifiers memorise?—0
Unleashing the power of Neural Collapse for Transferability Estimation—0
Enhancing Representations through Heterogeneous Self-Supervised Learning—0
Tight Certified Robustness via Min-Max Representations of ReLU Neural Networks—0
Activate and Reject: Towards Safe Domain Generalization under Category Shift—0
A privacy-preserving method using secret key for convolutional neural network-based speech classification—0
PriViT: Vision Transformers for Fast Private InferenceCode0
PrototypeFormer: Learning to Explore Prototype Relationships for Few-shot Image Classification—0
DED: Diagnostic Evidence Distillation for acne severity grading on face imagesCode0
Comparative Analysis of Imbalanced Malware Byteplot Image Classification using Transfer Learning—0
Heterogeneous Federated Learning Using Knowledge Codistillation—0
PDR-CapsNet: an Energy-Efficient Parallel Approach to Dynamic Routing in Capsule Networks—0
Dynamic Shuffle: An Efficient Channel Mixture Method—0
Deformation-Invariant Neural Network and Its Applications in Distorted Image Restoration and Analysis—0
Neural architecture impact on identifying temporally extended Reinforcement Learning tasks—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