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 4551–4575 of 10420 papers

TitleStatusHype
Resilient Constrained Learning—0
Memorization Capacity of Multi-Head Attention in TransformersCode0
Evaluating The Robustness of Self-Supervised Representations to Background/Foreground Removal—0
Break a Lag: Triple Exponential Moving Average for Enhanced Optimization—0
A Novel Vision Transformer with Residual in Self-attention for Biomedical Image Classification—0
Exploring Robustness of Image Recognition Models on Hardware AcceleratorsCode0
DWT-CompCNN: Deep Image Classification Network for High Throughput JPEG 2000 Compressed Documents—0
Is Generative Modeling-based Stylization Necessary for Domain Adaptation in Regression Tasks?—0
A Data-Driven Measure of Relative Uncertainty for Misclassification DetectionCode0
Long-Range Feedback Spiking Network Captures Dynamic and Static Representations of the Visual Cortex under Movie StimuliCode0
Transformer-based Multi-Modal Learning for Multi Label Remote Sensing Image Classification—0
Scaling Up Semi-supervised Learning with Unconstrained Unlabelled DataCode0
Concurrent Classifier Error Detection (CCED) in Large Scale Machine Learning Systems—0
Pseudo Labels for Single Positive Multi-Label Learning—0
Exploring the Versatility of Zero-Shot CLIP for Interstitial Lung Disease Classification—0
Adversarial-Aware Deep Learning System based on a Secondary Classical Machine Learning Verification Approach—0
GPT4Image: Can Large Pre-trained Models Help Vision Models on Perception Tasks?—0
Doubly Robust Self-TrainingCode0
Addressing Discrepancies in Semantic and Visual Alignment in Neural Networks—0
Out-of-distribution forgetting: vulnerability of continual learning to intra-class distribution shiftCode0
On the Limitations of Temperature Scaling for Distributions with OverlapsCode0
FlexRound: Learnable Rounding based on Element-wise Division for Post-Training QuantizationCode0
Microstructure quality control of steels using deep learning—0
Learning Across Decentralized Multi-Modal Remote Sensing Archives with Federated Learning—0
Hiera: A Hierarchical Vision Transformer without the Bells-and-WhistlesCode0
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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