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 9551–9575 of 10420 papers

TitleStatusHype
Highly Efficient Forward and Backward Propagation of Convolutional Neural Networks for Pixelwise Classification—0
Highly Efficient Representation and Active Learning Framework and Its Application to Imbalanced Medical Image Classification—0
High Performance Human Face Recognition using Independent High Intensity Gabor Wavelet Responses: A Statistical Approach—0
High Performance Hyperspectral Image Classification using Graphics Processing Units—0
High Quality Remote Sensing Image Super-Resolution Using Deep Memory Connected Network—0
Hilbert Curve Based Molecular Sequence Analysis—0
Hilbert Sinkhorn Divergence for Optimal Transport—0
HindSight: A Graph-Based Vision Model Architecture For Representing Part-Whole Hierarchies—0
Hippocampus Temporal Lobe Epilepsy Detection using a Combination of Shape-based Features and Spherical Harmonics Representation—0
HistoFS: Non-IID Histopathologic Whole Slide Image Classification via Federated Style Transfer with RoI-Preserving—0
Histograms of Pattern Sets for Image Classification and Object Recognition—0
Histopathological Image Classification and Vulnerability Analysis using Federated Learning—0
Histopathology Image Classification using Deep Manifold Contrastive Learning—0
Historical Test-time Prompt Tuning for Vision Foundation Models—0
HMIC: Hierarchical Medical Image Classification, A Deep Learning Approach—0
HOG feature extraction from encrypted images for privacy-preserving machine learning—0
Homogenizing Non-IID datasets via In-Distribution Knowledge Distillation for Decentralized Learning—0
How adversarial attacks can disrupt seemingly stable accurate classifiers—0
How Compact?: Assessing Compactness of Representations through Layer-Wise Pruning—0
How do Convolutional Neural Networks Learn Design?—0
How Does Diverse Interpretability of Textual Prompts Impact Medical Vision-Language Zero-Shot Tasks?—0
How does promoting the minority fraction affect generalization? A theoretical study of the one-hidden-layer neural network on group imbalance—0
How does self-supervised pretraining improve robustness against noisy labels across various medical image classification datasets?—0
How do Hyenas deal with Human Speech? Speech Recognition and Translation with ConfHyena—0
How good is my GAN?—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
5DaViT-HTop 1 Accuracy90.2—Unverified
6Meta Pseudo Labels (EfficientNet-L2)Top 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