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 4951–4975 of 10420 papers

TitleStatusHype
Image classification by visual bag-of-words refinement and reduction—0
Image Classification for Arabic: Assessing the Accuracy of Direct English to Arabic Translations—0
Image Classification for Snow Detection to Improve Pedestrian Safety—0
Dataset Distillation for Histopathology Image Classification—0
Interpreting Undesirable Pixels for Image Classification on Black-Box Models—0
Intriguing Frequency Interpretation of Adversarial Robustness for CNNs and ViTs—0
Image Classification of Grapevine Buds using Scale-Invariant Features Transform, Bag of Features and Support Vector Machines—0
Invariance vs Robustness of Neural Networks—0
How to augment your ViTs? Consistency loss and StyleAug, a random style transfer augmentation—0
Image Classification on Accelerated Neural Networks—0
Image Classification on IoT Edge Devices: Profiling and Modeling—0
How to Adapt Your Large-Scale Vision-and-Language Model—0
Image Classification Using a Diffusion Model as a Pre-Training Model—0
Image Classification using CNN for Traffic Signs in Pakistan—0
How stable are Transferability Metrics evaluations?—0
Image Classification using Fuzzy Pooling in Convolutional Kolmogorov-Arnold Networks—0
How Quality Affects Deep Neural Networks in Fine-Grained Image Classification—0
Image classification using local tensor singular value decompositions—0
Image classification using quantum inference on the D-Wave 2X—0
Image Classification using Sequence of Pixels—0
Audio-Visual Speech Recognition is Worth 32328 Voxels—0
Image Classification via Quantum Machine Learning—0
How Much Off-The-Shelf Knowledge Is Transferable From Natural Images To Pathology Images?—0
Image Classification with A Deep Network Model based on Compressive Sensing—0
How Much Is Hidden in the NAS Benchmarks? Few-Shot Adaptation of a NAS Predictor—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