Although the reward gain improvement slightly, humans generally feel the guiding chatbot’s response irrelevant: as the reward increases, the relevance decreases dramatically. Furthermore, some used RL to improve their chatbot’s performance (Serban et al., 2017; Williams, 1992) and others combined RL with GPT-2 (Radford et al., 2019) models to control the sentiment of their chatbot’s response to make it more user-friendly (Han et al., 2019; Lee et al., 2018). Beyond the viewpoint of sentiment, the EmpatheticDialogues (ED) dataset is collected (Rashkin et al., 2019) to train a chatbot that could recognize the feeling of the interlocutor and know how to reply accordingly (Lin et al., 2019). However, these researchers neglected what really separated humans from chatbots - humans understood the impact their responses had on the interlocutor and often responded with intentions and expectations. Given input sentences, the chatbot chose the corresponding response from the candidate pool. While BLEU score (Papineni et al., 2002) is usually used to measure the correctness in machine translation, Self-BLEU (Zhu et al., 2018) is used here to measure the diversity of chatbot responses; we calculated the average BLEU score between sentences in our testing result as the Self-BLEU score. In this paper, we aimed to train a chatbot to emulate these human-like qualities by making it learn from interactive conversation

Both genders can quickly wear this awesome sneaker.Wide footers especially need the Nike D Rose’s flexibility because of Primeknit. The stability for wide footers is the main point here. For this problem, The Nike Air Versatile has flywire cables that provide excellent support and stability while playing. The Nike Men’s custom printed dior air force 1 trainer versatile offers a superior grip with the traction pattern of herringbone. The traction of this sneaker is a little bit different from other basketball shoes. Tailoring aside, this is the kind of sneaker that can work across the entirety of your wardrobe. You won't want to run a half-marathon in these, and probably not even a 10K, but they are incredibly light and work well for fast-paced runs at shorter distances. These directions are a set-up for student papers. But there are ways to reduce your risk factors, too. The mid-cut basketball shoes are designed for gym and basketball courts. Pressing the foamy midsole pushes the zoom air unit; hence, your foot comes back quickly during jumping.Easy to wear basketball sneakers with the only help of one hand

Comfort and ease of movement are also necessary qualities. We are sure that you will feel too soft and comfortable to wear. At the risk of stating the obvious, you want to make sure your shoe insert will actually fit inside your shoes. To realize a smooth and realistic try-on effect, an origin 3D shoe overlay generation approach and a novel stabilization method are proposed. The amount of calculation, model parameters, and processing speed are evaluated exhaustively to demonstrate the efficiency of the proposed system. Next, we fine-tuned the BERT model on an emotional classification task to enhance the model’s capability of categorizing each emotion. Such satisfying 6-DoF pose estimation performance demonstrates that ARShoe can precisely handle the virtual try-on task in real-world scenarios. The common solution for 6-DoF pose estimation is in two-stage. In that case, the adopted algorithm is also expected to realize 6-DoF pose estimation accurately and efficiently. Commonly, pose from 2D images is estimated by mapping 2D keypoints through the Perspective-n-Point (PnP) algorithm

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Instead, we propose to capture images of feet with a common monocular camera and annotate data in a novel way. In addition to limited computation resources, the sensing device on smartphones that can be used for virtual try-on is usually only a monocular camera. Practical tests on mainstream smartphones validate the high fluency and computational efficiency of ARShoe. As shown in Table 1, ARShoe has the fewest Flops (0.984 G) and parameters (1.292 M), while the second lightest approach Lightweight OpenPose still holds the Flops of 4.327 G and the parameters of 4.092 M. For segmentation methods, SOLOv2-Resnet50-FPN is the second lightest approach, which still has 6.3 times more Flops and 20.4 times more parameters than ARShoe. Rival Nike said in December supply issues and fresh COVID-19 lockdowns led to a 20% fall in revenue in Greater China in its fiscal second quarter. Each of these pairs is convolved with a 1 second random white Gaussian noise signal, and the result is resampled at 8kHz. The short-time Fourier transform is then applied to both signals, using a 64ms sliding time window with 50% overlap