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| AdderNet: Do We | really | Need Multiplications in Deep Learning? |
| Are 2D-LSTM | really | dead for offline text recognition? |
| Are French | really | That Different? Recognizing Europeans from Faces Using Data-Driven Learning |
| Are Fuzzy Definitions of Basic Attributes of Image Objects | really | Useful? |
| Are Large-Scale 3D Models | really | Necessary for Accurate Visual Localization? |
| Are MSER Features | really | Interesting? |
| Are sparse representations | really | relevant for image classification? |
| Are spatial and global constraints | really | necessary for segmentation? |
| Are You | really | Looking at Me? A Feature-Extraction Framework for Estimating Interpersonal Eye Gaze From Conventional Video |
| Are You | really | Smiling at Me? Spontaneous versus Posed Enjoyment Smiles |
| Bias from the Wild Industry 4.0: Are We | really | Classifying the Quality or Shotgun Series? |
| Binarizing by Classification: Is Soft Function | really | Necessary? |
| Biometric fusion: Does modeling correlation | really | matter? |
| Can a Local Histogram | really | Map Texture Information? |
| Can you | really | trust the sensor's PRNU? How image content might impact the finger vein sensor identification performance |
| Depth from Defocus vs. Stereo: How Different | really | Are They? |
| Do Deep-Learning Saliency Models | really | Model Saliency? |
| Do Solid Waste Landfills | really | Affect Land Use Change? Answers Using the Weighted Environmental Index (WEI) |
| Do We | really | Have to Consider Covariance Matrices for Image Features? |
| Do We | really | Need All These Neurons? |
| Do we | really | need an accurate calibration pattern to achieve a reliable camera calibration? |
| Do We | really | Need Gold Samples for Sample Weighting under Label Noise? |
| Do we | really | need more training data for object localization |
| Do We | really | Need Robust and Alternative Inference Methods for Brain MRI? |
| Do We | really | Need Scene-specific Pose Encoders? |
| Do We | really | Need to Calibrate All the Parameters? Variance-Based Sensitivity Analysis to Simplify Microscopic Traffic Flow Models |
| Do We | really | Need to Collect Millions of Faces for Effective Face Recognition? |
| Does Color | really | Help in Dense Stereo Matching? |
| Does Physical Adversarial Example | really | Matter to Autonomous Driving? Towards System-Level Effect of Adversarial Object Evasion Attack |
| Does Thermal | really | Always Matter for RGB-T Salient Object Detection? |
| Exploring some practical issues of SVM+: Is | really | privileged information that helps? |
| How good are detection proposals, | really | ? |
| How Hard is 3-View Triangulation | really | ? |
| How Much Deep Learning does Neural Style Transfer | really | Need? An Ablation Study |
| Is E-learning | really | Flexible? Ideas for Building Effective Interactive Learning Environments for Cultural Heritage |
| Is face recognition | really | a Compressive Sensing problem? |
| Is In-Domain Data | really | Needed? A Pilot Study on Cross-Domain Calibration for Network Quantization |
| Is it | really | Easy to Detect Sybil Attacks in C-ITS Environments: A Position Paper |
| Is my new tracker | really | better than yours? |
| Is Pose | really | Solved? A Frontalization Study On Off-Angle Face Matching |
| Is the Fundamental Matrix | really | Independent of the Scene Structure? |
| Is There | really | a Closure Gap Between 183.31-GHz Satellite Passive Microwave and In Situ Radiosonde Water Vapor Measurements? |
| Manitest: Are classifiers | really | invariant? |
| optimal triangulation method is not | really | optimal, The |
| picturephone is here. | really | , The |
| Relaxation for Point-Pattern Matching: What it | really | Computes |
| Scaling functions for landscape pattern metrics derived from remotely sensed data: Are their subpixel estimates | really | accurate? |
| Semi-autonomous advanced parking assistants: do they | really | have to be learned if steering is automated? |
| To Frontalize or Not to Frontalize: Do We | really | Need Elaborate Pre-processing to Improve Face Recognition? |
| Too Far to See? Not | really | !: Pedestrian Detection With Scale-Aware Localization Policy |
| Visual Transformers: Where Do Transformers | really | Belong in Vision Models? |
| What a Histogram Can | really | Tell the Classifier |
| What Does 2D Geometric Information | really | Tell Us About 3D Face Shape? |
| What Does | really | Count? Estimating Relevance of Corner Cases for Semantic Segmentation in Automated Driving |
| What Image Classifiers | really | See: Visualizing Bag-of-Visual Words Models |
| What the Fourier Transform Can | really | Bring to Clustering |
| When will Google's self-driving car | really | be ready? It depends on where you live and what you mean by ready |
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