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

Showing 53515375 of 10420 papers

TitleStatusHype
On the interplay of adversarial robustness and architecture components: patches, convolution and attention0
Learning Deep Optimal Embeddings with Sinkhorn Divergences0
DASH: Visual Analytics for Debiasing Image Classification via User-Driven Synthetic Data Augmentation0
ConvNeXt Based Neural Network for Audio Anti-SpoofingCode0
A Survey on Evolutionary Computation for Computer Vision and Image Analysis: Past, Present, and Future Trends0
PaLI: A Jointly-Scaled Multilingual Language-Image Model0
Class-Level Logit PerturbationCode0
Moving from 2D to 3D: volumetric medical image classification for rectal cancer stagingCode0
Certified Defences Against Adversarial Patch Attacks on Semantic Segmentation0
Virtual Underwater Datasets for Autonomous Inspections0
Revisiting Neural Scaling Laws in Language and Vision0
Unsupervised representation learning with recognition-parametrised probabilistic modelsCode0
A Capsule Network for Hierarchical Multi-Label Image Classification0
Towards Sparsification of Graph Neural NetworksCode0
OpenMixup: Open Mixup Toolbox and Benchmark for Visual Representation Learning0
Preserving Privacy in Federated Learning with Ensemble Cross-Domain Knowledge Distillation0
Deep learning in a bilateral brain with hemispheric specializationCode0
Continual learning benefits from multiple sleep mechanisms: NREM, REM, and Synaptic Downscaling0
Losing momentum in continuous-time stochastic optimisation0
Exploring Target Representations for Masked AutoencodersCode0
Improving plant disease classification by adaptive minimal ensembling0
RGB-X Classification for Electronics Sorting0
Sign Language Detection0
Plant Species Classification Using Transfer Learning by Pretrained Classifier VGG-190
On the Transferability of Adversarial Examples between Encrypted Models0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CoCa (finetuned)Top 1 Accuracy91Unverified
2Model soups (BASIC-L)Top 1 Accuracy90.98Unverified
3Model soups (ViT-G/14)Top 1 Accuracy90.94Unverified
4DaViT-GTop 1 Accuracy90.4Unverified
5Meta Pseudo Labels (EfficientNet-L2)Top 1 Accuracy90.2Unverified
6DaViT-HTop 1 Accuracy90.2Unverified
7SwinV2-GTop 1 Accuracy90.17Unverified
8MAWS (ViT-6.5B)Top 1 Accuracy90.1Unverified
9Florence-CoSwin-HTop 1 Accuracy90.05Unverified
10RevCol-HTop 1 Accuracy90Unverified