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 8176–8200 of 10420 papers

TitleStatusHype
TinyCNN: A Tiny Modular CNN Accelerator for Embedded FPGA—0
DeepSat V2: Feature Augmented Convolutional Neural Nets for Satellite Image ClassificationCode0
Label-similarity Curriculum Learning—0
Simple iterative method for generating targeted universal adversarial perturbationsCode0
In-domain representation learning for remote sensingCode0
Restricted Boltzmann Machines for galaxy morphology classification with a quantum annealer—0
Self-Supervised Learning For Few-Shot Image ClassificationCode0
Adversarial Embedding: A robust and elusive Steganography and Watermarking technique—0
Adversarial Transformations for Semi-Supervised Learning—0
Knowledge Representing: Efficient, Sparse Representation of Prior Knowledge for Knowledge Distillation—0
Image-Based Feature Representation for Insider Threat Classification—0
Cost-efficient segmentation of electron microscopy images using active learning—0
Pose Guided Attention for Multi-label Fashion Image Classification—0
Throughput Prediction of Asynchronous SGD in TensorFlow—0
A Computing Kernel for Network Binarization on PyTorchCode0
An empirical study of the relation between network architecture and complexity—0
Learning From Brains How to Regularize MachinesCode0
Meta Label Correction for Noisy Label LearningCode0
IrisNet: Deep Learning for Automatic and Real-time Tongue Contour Tracking in Ultrasound Video Data using Peripheral Vision—0
Optimizing Deep Learning Inference on Embedded Systems Through Adaptive Model Selection—0
On the design of convolutional neural networks for automatic detection of Alzheimer's diseaseCode0
Improving Machine Reading Comprehension via Adversarial Training—0
On the Relationship between Self-Attention and Convolutional LayersCode0
Knowledge Distillation for Incremental Learning in Semantic Segmentation—0
Efficacy of Pixel-Level OOD Detection for Semantic Segmentation—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