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 5476–5500 of 10420 papers

TitleStatusHype
Kernel Reconstruction ICA for Sparse Representation—0
Kernel Task-Driven Dictionary Learning for Hyperspectral Image Classification—0
Key Design Choices in Source-Free Unsupervised Domain Adaptation: An In-depth Empirical Analysis—0
Cross-filter compression for CNN inference acceleration—0
Hermitry Ratio: Evaluating the validity of perturbation methods for explainable deep learning—0
K for the Price of 1: Parameter-efficient Multi-task and Transfer Learning—0
Deep Nonparametric Convexified Filtering for Computational Photography, Image Synthesis and Adversarial Defense—0
Cross-Domain Sparse Coding—0
Semantic-Aware Contrastive Learning for Multi-object Medical Image Segmentation—0
Knee or ROC—0
Learning to generate imaginary tasks for improving generalization in meta-learning—0
Learning to predict visual brain activity by predicting future sensory states—0
HEp-2 Cell Image Classification with Deep Convolutional Neural Networks—0
Knowledge-Aware Prompt Tuning for Generalizable Vision-Language Models—0
Knowledge Concentration: Learning 100K Object Classifiers in a Single CNN—0
Accelerating Cardiac MRI Reconstruction with CMRatt: An Attention-Driven Approach—0
Learning to Detect Malicious Clients for Robust Federated Learning—0
Learning to Detect Semantic Boundaries with Image-level Class Labels—0
Knowledge Distillation for Incremental Learning in Semantic Segmentation—0
Knowledge Distillation for Object Detection via Rank Mimicking and Prediction-guided Feature Imitation—0
HDF: Hybrid Deep Features for Scene Image Representation—0
HD-CNN: Hierarchical Deep Convolutional Neural Networks for Large Scale Visual Recognition—0
Knowledge Distillation in Generations: More Tolerant Teachers Educate Better Students—0
Knowledge Distillation in Vision Transformers: A Critical Review—0
Have Large Vision-Language Models Mastered Art History?—0
Show:102550
← PrevPage 220 of 417Next →
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