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 7601–7625 of 10420 papers

TitleStatusHype
Maximum Entropy Regularization and Chinese Text Recognition—0
Learning to Reweight with Deep Interactions—0
StyPath: Style-Transfer Data Augmentation For Robust Histology Image ClassificationCode0
AUSN: Approximately Uniform Quantization by Adaptively Superimposing Non-uniform Distribution for Deep Neural Networks—0
Consistency Regularization with Generative Adversarial Networks for Semi-Supervised Learning—0
Classification with 2-D Convolutional Neural Networks for breast cancer diagnosisCode0
C2G-Net: Exploiting Morphological Properties for Image Classification—0
Deep Reinforcement Learning and its Neuroscientific Implications—0
Learning the Prediction Distribution for Semi-Supervised Learning with Normalising FlowsCode0
Learning Embeddings for Image Clustering: An Empirical Study of Triplet Loss Approaches—0
Bespoke vs. Prêt-à-Porter Lottery Tickets: Exploiting Mask Similarity for Trainable Sub-Network Finding—0
Deep Learning for Apple Diseases: Classification and Identification—0
Weakly Supervised Domain Adaptation for Built-up Region Segmentation in Aerial and Satellite ImageryCode0
On Connections between Regularizations for Improving DNN Robustness—0
CacheNet: A Model Caching Framework for Deep Learning Inference on the Edge—0
Towards Robust Deep Learning with Ensemble Networks and Noisy Layers—0
Self-supervised Neural Architecture Search—0
Interactive Knowledge Distillation—0
Increasing Trustworthiness of Deep Neural Networks via Accuracy Monitoring—0
Selecting Regions of Interest in Large Multi-Scale Images for Cancer Pathology—0
Self-Supervised GAN CompressionCode0
Surrogate-assisted Particle Swarm Optimisation for Evolving Variable-length Transferable Blocks for Image Classification—0
Are there any 'object detectors' in the hidden layers of CNNs trained to identify objects or scenes?Code0
Channel Compression: Rethinking Information Redundancy among Channels in CNN Architecture—0
A Novel BGCapsule Network for Text Classification—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
10RevCol-HTop 1 Accuracy90—Unverified