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 5451–5475 of 10420 papers

TitleStatusHype
KAN-Mixers: a new deep learning architecture for image classification—0
Batch Kalman Normalization: Towards Training Deep Neural Networks with Micro-Batches—0
KANs for Computer Vision: An Experimental Study—0
Cross-filter compression for CNN inference acceleration—0
Hermitry Ratio: Evaluating the validity of perturbation methods for explainable deep learning—0
KCRC-LCD: Discriminative Kernel Collaborative Representation with Locality Constrained Dictionary for Visual Categorization—0
Cross-Domain Sparse Coding—0
Keeping Representation Similarity in Finetuning for Medical Image Analysis—0
Semantic-Aware Contrastive Learning for Multi-object Medical Image Segmentation—0
Learning Task-Independent Game State Representations from Unlabeled Images—0
Keep Your AI-es on the Road: Tackling Distracted Driver Detection with Convolutional Neural Networks and Targeted Data Augmentation—0
Keep your distance: learning dispersed embeddings on S_m—0
Learning to Adapt Category Consistent Meta-Feature of CLIP for Few-Shot Classification—0
Learning to Classify New Foods Incrementally Via Compressed Exemplars—0
Deep Neural Networks for Object Detection—0
Kernel Descriptors for Visual Recognition—0
Deep Neural Networks for Pattern Recognition—0
Kernel Extreme Learning Machine Optimized by the Sparrow Search Algorithm for Hyperspectral Image Classification—0
HEp-2 Cell Image Classification with Deep Convolutional Neural Networks—0
Deep Neural Networks Fused with Textures for Image Classification—0
Accelerating Cardiac MRI Reconstruction with CMRatt: An Attention-Driven Approach—0
Learning Structured Inference Neural Networks with Label Relations—0
Kernel Methods on Approximate Infinite-Dimensional Covariance Operators for Image Classification—0
Achieving Explainability for Plant Disease Classification with Disentangled Variational Autoencoders—0
Learning Structured Low-Rank Representations for Image Classification—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