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 3351–3375 of 10420 papers

TitleStatusHype
SCALES: Boost Binary Neural Network for Image Super-Resolution with Efficient Scalings—0
Biologically inspired deep residual networks for computer vision applications—0
Biologically Inspired Deep Learning Approaches for Fetal Ultrasound Image Classification—0
ECG Arrhythmia Classification Using Transfer Learning from 2-Dimensional Deep CNN Features—0
ECO: Ensembling Context Optimization for Vision-Language Models—0
Category Disentangled Context: Turning Category-irrelevant Features Into Treasures—0
Anchor Cascade for Efficient Face Detection—0
Differentiable Deep Clustering with Cluster Size Constraints—0
Differentiable Channel Sparsity Search via Weight Sharing within Filters—0
Anchor-based Nearest Class Mean Loss for Convolutional Neural Networks—0
Differentiable Architecture Compression—0
Edge-Cloud Cooperation for DNN Inference via Reinforcement Learning and Supervised Learning—0
L_2BN: Enhancing Batch Normalization by Equalizing the L_2 Norms of Features—0
Bio-inspired learnable divisive normalization for ANNs—0
Annotation Efficiency: Identifying Hard Samples via Blocked Sparse Linear Bandits—0
A Closer Look at Personalization in Federated Image Classification—0
Faster Adaptive Federated Learning—0
Faster Inference of Integer SWIN Transformer by Removing the GELU Activation—0
Fast Image Classification by Boosting Fuzzy Classifiers—0
CA-UDA: Class-Aware Unsupervised Domain Adaptation with Optimal Assignment and Pseudo-Label Refinement—0
EEG-NeXt: A Modernized ConvNet for The Classification of Cognitive Activity from EEG—0
EffCNet: An Efficient CondenseNet for Image Classification on NXP BlueBox—0
Effective and Robust Detection of Adversarial Examples via Benford-Fourier Coefficients—0
DiffCLIP: Leveraging Stable Diffusion for Language Grounded 3D Classification—0
Bin-wise Temperature Scaling (BTS): Improvement in Confidence Calibration Performance through Simple Scaling Techniques—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