2021年CLIP模型发表,推动了zero-shot图像分类、文本-图像跨模态检索和文生图等领域的蓬勃发展。尽管展示出了显著能力,CLIP在compositional understanding方面有明显局限,难以捕捉图文在关系、动作、属性等方面的组合语义。比如CLIP难以区分由相同词汇组成但词汇顺序不同的标题, 如Figure 2[1]举例,CLIP对狗和猫的相对位置关...
Compositional Zero-Shot Learning (CZSL) aims to recognize unseen combinations of seen attributes and objects. Current CLIP-based methods in CZSL, despite their advancements, often fail to effectively understand and link the attributes and objects due to inherent limitations in CLIP's pretraining mech...
Compositional zero-shot learning (CZSL) task aims to recognize unseen compositional visual concepts, e.g ., sliced tomatoes , where the model is learned only from the seen compositions, e.g ., sliced potatoes and red tomatoes . Thanks to the prompt tuning on large pre-trained visual ...
Reference Paper:Learning to Compose Soft Prompts for Compositional Zero-Shot Learning Setup conda create --name clip python=3.7 conda activate clip pip3 install torch torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/cu113 pip3 install ftfy regex tqdm scipy pandas pip3 in...
In this turn, and with enough data, we can gradually transition between general purpose LLMs with zero and few-shot learning capabilities, and specialized fine-tuned models to solve specific problems (see above). This means that each operations could be designed to use a model with fine-tuned...
Hence, we avoid using CLIP for our setup. To the best of our knowledge, this is the first work exploring Open Vocabulary for Com- positional Zero-shot Learning (OV-CZSL), and proposing a new challenging benchmark. We compare with baselines for both tasks ZSL a...
These tasks are - (i) compositional visual question answering; (ii) zero-shot natural language visual reasoning (NLVR) on im- age pairs; (iii) factual knowledge object tagging from natu- ral language instructions; and (iv) language-guided image editing. We emphasize...
Compositional zero-shot learning (CZSL) strives to learn attributes and objects from seen compositions and transfer the acquired knowledge to unseen compositions. Existing methods either learn primitive concepts in an entangled manner, leading to the model relying on spurious correlations between attribute...
Cooking-Clip: Context-Aware Language-Image Pretraining for Zero-Shot Recipe Generation Cooking is one of the oldest and the most common human activities in everyone’s daily life. Instructional cooking videos have also become one of the... L Wang,HM Al-Gunid,A Hawbani,... - Icassp IEEE ...
(including the action prompt,object prompt,and procedure prompt),which could compositionally distill knowledge from short-term video-language models to facilitate long-term procedure understanding.Besides,the task reformulation enables our CPL to perform well in all zero-shot,few-shot,and fully-...