Papers Open Vocabulary Image Classification
“Open Vocabulary Image Classification” 태그가 달린 논문 7편 · 필터 해제
Anytime Continual Learning for Open Vocabulary Classification
We propose an approach for anytime continual learning (AnytimeCL) for open vocabulary image classification. The AnytimeCL problem aims to break away from batch training and rigid models by requiring that a system can pre…
ClassificationContinual Learningimage-classificationImage Classification+1Unconstrained Open Vocabulary Image Classification: Zero-Shot Transfer from Text to Image via CLIP Inversion
We introduce NOVIC, an innovative real-time uNconstrained Open Vocabulary Image Classifier that uses an autoregressive transformer to generatively output classification labels as language. Leveraging the extensive knowle…
image-classificationImage ClassificationOpen Vocabulary Image ClassificationOpen Vocabulary Object Detection+2FusionBench: A Comprehensive Benchmark of Deep Model Fusion
Deep model fusion is an emerging technique that unifies the predictions or parameters of several deep neural networks into a single model in a cost-effective and data-efficient manner. This enables the unified model to t…
image-classificationImage ClassificationmodelOpen Vocabulary Image Classification+3Remote Sensing Vision-Language Foundation Models without Annotations via Ground Remote Alignment
We introduce a method to train vision-language models for remote-sensing images without using any textual annotations. Our key insight is to use co-located internet imagery taken on the ground as an intermediary for conn…
image-classificationImage ClassificationLanguage ModelingLanguage Modelling+5Continual Learning in Open-vocabulary Classification with Complementary Memory Systems
We introduce a method for flexible and efficient continual learning in open-vocabulary image classification, drawing inspiration from the complementary learning systems observed in human cognition. Specifically, we propo…
Continual Learningimage-classificationImage ClassificationOpen Vocabulary Image ClassificationA Simple Baseline for Open-Vocabulary Semantic Segmentation with Pre-trained Vision-language Model
Recently, open-vocabulary image classification by vision language pre-training has demonstrated incredible achievements, that the model can classify arbitrary categories without seeing additional annotated images of that…
image-classificationImage ClassificationLanguage ModelingLanguage Modelling+10Open-vocabulary Object Detection via Vision and Language Knowledge Distillation
We aim at advancing open-vocabulary object detection, which detects objects described by arbitrary text inputs. The fundamental challenge is the availability of training data. It is costly to further scale up the number …
image-classificationImage ClassificationKnowledge Distillationobject-detection+6