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 4226–4250 of 10420 papers

TitleStatusHype
An Algorithm for Routing Vectors in Sequences—0
How does promoting the minority fraction affect generalization? A theoretical study of the one-hidden-layer neural network on group imbalance—0
Deep Spatial Pyramid: The Devil is Once Again in the Details—0
DeepSetNet: Predicting Sets with Deep Neural Networks—0
Be Careful What You Backpropagate: A Case For Linear Output Activations & Gradient Boosting—0
Deep Sequential Feature Learning in Clinical Image Classification of Infectious Keratitis—0
An Algorithm for Routing Capsules in All Domains—0
Adaptive Regularization via Residual Smoothing in Deep Learning Optimization—0
How Does Diverse Interpretability of Textual Prompts Impact Medical Vision-Language Zero-Shot Tasks?—0
How does self-supervised pretraining improve robustness against noisy labels across various medical image classification datasets?—0
How many classifiers do we need?—0
Deep Self-taught Learning for Remote Sensing Image Classification—0
Deep Self-Learning From Noisy Labels—0
Homogenizing Non-IID datasets via In-Distribution Knowledge Distillation for Decentralized Learning—0
Deep Selector-JPEG: Adaptive JPEG Image Compression for Computer Vision in Image classification with Human Vision Criteria—0
Bayesian Test-Time Adaptation for Vision-Language Models—0
HOG feature extraction from encrypted images for privacy-preserving machine learning—0
Deep Scene Image Classification With the MFAFVNet—0
HMIC: Hierarchical Medical Image Classification, A Deep Learning Approach—0
Adaptive Region Pooling for Fine-Grained Representation Learning—0
Historical Test-time Prompt Tuning for Vision Foundation Models—0
How adversarial attacks can disrupt seemingly stable accurate classifiers—0
Histograms of Pattern Sets for Image Classification and Object Recognition—0
An Adaptive Sampling and Edge Detection Approach for Encoding Static Images for Spiking Neural Networks—0
Histopathological Image Classification and Vulnerability Analysis using Federated Learning—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