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 3951–3975 of 10420 papers

TitleStatusHype
Detecting Adversarial Perturbations Through Spatial Behavior in Activation Spaces—0
Beyond Linearity: Squeeze-and-Recalibrate Blocks for Few-Shot Whole Slide Image Classification—0
Faster Adaptive Federated Learning—0
Faster and Accurate Classification for JPEG2000 Compressed Images in Networked Applications—0
Beyond Inference: Performance Analysis of DNN Server Overheads for Computer Vision—0
Faster Inference of Integer SWIN Transformer by Removing the GELU Activation—0
Detecting Adversarial Examples in Convolutional Neural Networks—0
Faster Training by Selecting Samples Using Embeddings—0
Detecting Adversarial Attacks in Semantic Segmentation via Uncertainty Estimation: A Deep Analysis—0
Fast Fine-grained Image Classification via Weakly Supervised Discriminative Localization—0
Glasses Detection Using Convolutional Neural Networks—0
Fast Fourier Convolution Based Remote Sensor Image Object Detection for Earth Observation—0
Detecção da Psoríase Utilizando Visão Computacional: Uma Abordagem Comparativa Entre CNNs e Vision Transformers—0
Beyond image classification: zooplankton identification with deep vector space embeddings—0
Design-time Fashion Popularity Forecasting in VR Environments—0
Fast Image Classification by Boosting Fuzzy Classifiers—0
Analyzing the Use of Influence Functions for Instance-Specific Data Filtering in Neural Machine Translation—0
Adaptive Test-Time Augmentation for Low-Power CPU—0
Comparative Analysis of Multiple Deep CNN Models for Waste Classification—0
Fast Neural Architecture Construction using EnvelopeNets—0
Advancing Supervised Local Learning Beyond Classification with Long-term Feature Bank—0
Global Feature Guided Local Pooling—0
FAST OBJECT LOCALIZATION VIA SENSITIVITY ANALYSIS—0
Fast Parametric Learning with Activation Memorization—0
Design Space Exploration of Hardware Spiking Neurons for Embedded Artificial Intelligence—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