| _ | ask | _ |
|---|
| Adaptive random forest: How many experts to | ask | before making a decision? |
| ask | amp;Confirm: Active Detail Enriching for Cross-Modal Retrieval with Partial Query |
| ask | Me Anything: Free-Form Visual Question Answering Based on Knowledge from External Sources |
| ask | the dictionary: Soft-assignment location-orientation pooling for image classification |
| ask | the Image: Supervised Pooling to Preserve Feature Locality |
| ask | the locals: Multi-way local pooling for image recognition |
| ask | Your Neurons: A Deep Learning Approach to Visual Question Answering |
| ask | Your Neurons: A Neural-Based Approach to Answering Questions about Images |
| ask | 'nSeek: A New Game for Object Detection and Labeling |
| ask | , Acquire, and Attack: Data-Free UAP Generation Using Class Impressions |
| ask | , Attend and Answer: Exploring Question-Guided Spatial Attention for Visual Question Answering |
| ask | -modulator design of RFID tag in 180nm CMOS technology |
| ask | : Adaptively Selecting Key Local Features for RGB-D Scene Recognition |
| DAPC: Answering Why-Not Questions on Top-k Direction-Aware | ask | Queries in Polar Coordinates |
| Just | ask | Plus: Using Transcripts for VideoQA |
| Just | ask | : Learning to Answer Questions from Millions of Narrated Videos |
| Learning to | ask | Informative Sub-Questions for Visual Question Answering |
17 for ask