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 6401–6425 of 10420 papers

TitleStatusHype
Getting ViT in Shape: Scaling Laws for Compute-Optimal Model Design—0
Get Rid Of Your Trail: Remotely Erasing Backdoors in Federated Learning—0
MMF: Multi-Task Multi-Structure Fusion for Hierarchical Image Classification—0
MMFormer: Multimodal Transformer Using Multiscale Self-Attention for Remote Sensing Image Classification—0
m-mix: Generating hard negatives via multiple samples mixing for contrastive learning—0
MM-UNet: A Mixed MLP Architecture for Improved Ophthalmic Image Segmentation—0
Convolutional Neural Networks from Image Markers—0
MultiNet with Transformers: A Model for Cancer Diagnosis Using Images—0
Multipath agents for modular multitask ML systems—0
Multiscale Convolutional Transformer with Center Mask Pretraining for Hyperspectral Image Classification—0
Building Human-like Communicative Intelligence: A Grounded Perspective—0
Multi-task Supervised Learning via Cross-learning—0
GeoWATCH for Detecting Heavy Construction in Heterogeneous Time Series of Satellite Images—0
Convolutional Neural Networks for Multispectral Image Cloud Masking—0
GeoTop: Advancing Image Classification with Geometric-Topological Analysis—0
Active Learning Solution on Distributed Edge Computing—0
Convolutional Neural Networks for Histopathology Image Classification: Training vs. Using Pre-Trained Networks—0
Mobility-Aware Asynchronous Federated Learning with Dynamic Sparsification—0
MoBiNet: A Mobile Binary Network for Image Classification—0
GeoNet: Benchmarking Unsupervised Adaptation across Geographies—0
Multimodal Hyperspectral Image Classification via Interconnected Fusion—0
MoCo-Pretraining Improves Representations and Transferability of Chest X-ray Models—0
Modality-bridge Transfer Learning for Medical Image Classification—0
MoDE: CLIP Data Experts via Clustering—0
Geometry aware convolutional filters for omnidirectional images representation—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
10Meta Pseudo Labels (EfficientNet-B6-Wide)Top 1 Accuracy90—Unverified